Benjamin Alan Goldstein
Associate Professor of Biostatistics & Bioinformatics
I study the meaningful use of Electronic Health Records data. My research interests sit at the intersection of biostatistics, biomedical informatics, machine learning and epidemiology. I collaborate with researchers both locally at Duke as well as nationally. I am interested in speaking with any students, methodologistis or collaborators interested in EHR data.
Please find more information at: https://sites.duke.edu/bgoldstein/
Please find more information at: https://sites.duke.edu/bgoldstein/
Current Appointments & Affiliations
- Associate Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics, Division of Translational Biomedical, Biostatistics & Bioinformatics 2022
- Associate Professor in Pediatrics, Pediatrics, Children's Health Discovery Institute, Pediatrics 2020
- Associate Professor in Population Health Sciences, Population Health Sciences, Basic Science Departments 2020
- Member of the Duke Clinical Research Institute, Duke Clinical Research Institute, Institutes and Centers 2014
Contact Information
- 2424 Erwin Road Ste 902, 9023 Hock Plaza, Durham, NC 27705
- Duke Box 2721, Durham, NC 27710
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ben.goldstein@duke.edu
(919) 681-5011
- Background
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Education, Training, & Certifications
- Ph.D., University of California - Berkeley 2011
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Previous Appointments & Affiliations
- Associate Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2021 - 2022
- Associate Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2018 - 2020
- Associate Professor in Pediatrics, Pediatrics, Children's Health Discovery Institute, Pediatrics 2018 - 2020
- Associate Professor in Population Health Sciences, Population Health Sciences, Basic Science Departments 2019 - 2020
- Assistant Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2014 - 2018
- Assistant Professor in Pediatrics, Pediatrics, Children's Health Discovery Institute, Pediatrics 2018
- Recognition
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In the News
- Expertise
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Subject Headings
- Research
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Selected Grants
- Impact of Autonomic Dysfunction on Multi-Organ Dysfunction following Severe TBI: The AUTO-BOOST Study awarded by National Institutes of Health 2023 - 2028
- Mobile technologies to screen for prediabetes and type 2 diabetes in asymptomatic adults awarded by National Institutes of Health 2023 - 2028
- Machine Learning Methods to Develop and Deploy Real-Time Risk Surveillance for Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder from the Electronic Health Record awarded by National Institutes of Health 2022 - 2027
- POWER: Predicting Obesity with Enhanced EHR Resources awarded by National Institutes of Health 2022 - 2027
- Integrated Biostatistical Training for CVD Research awarded by North Carolina State University 2022 - 2027
- Duke Program of Training in Pulmonary ReSearch to Promote, Engage and Retain Academic Researchers (PROSPER) awarded by National Institutes of Health 2022 - 2026
- Combining data sources to identify effect moderation for personalized mental health treatment awarded by Johns Hopkins University 2021 - 2025
- Engaging Multidisciplinary Health System Stakeholders to Create a Process for Implementing Machine-Learning Enabled Clinical Decision Support awarded by National Institutes of Health 2022 - 2024
- Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKD awarded by National Institutes of Health 2020 - 2024
- Advanced computational approaches for integrating data to assess effect heterogeneity awarded by Johns Hopkins University 2021 - 2023
- Addressing Bias from Missing Data in EHR Based Studies of CVD awarded by National Institutes of Health 2018 - 2023
- Using simulation modeling and real-world data to monitor the effectiveness of the COVID-19 vaccine awarded by Food and Drug Administration 2021 - 2023
- Early Identification and Prevention of Child Maltreatment: Cross-Agency Processes and Outcomes awarded by Duke Endowment 2019 - 2022
- Using electronic health records to identify and assess adverse events for biologics therapies: developing and validating methodological approaches awarded by Food and Drug Administration 2020 - 2022
- QuBBD: Deep Poisson Methods for Biomedical Time-to-Event and Longitudinal Data awarded by National Institutes of Health 2017 - 2021
- CPM Analysis awarded by Sanofi-Aventis Deutschland GmbH 2016 - 2021
- A County-level spatiotemporal multi-dimensional database to define risk modifiers of environmentally triggered severe asthma exacerbations in children awarded by National Institutes of Health 2019 - 2021
- Machine Learning Platform for Surgical Risk Prediction and Modification awarded by kelaHealth, Inc 2017 - 2018
- Understanding and predicting cardiac events in HD using real-time EHRs awarded by National Institutes of Health 2013 - 2018
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External Relationships
- Newco
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Xie, F., Ning, Y., Liu, M., Li, S., Saffari, S. E., Yuan, H., … Liu, N. (2023). A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes. Star Protoc, 4(2), 102302. https://doi.org/10.1016/j.xpro.2023.102302Full Text Link to Item
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Hatfield, J., Ohnuma, T., Soto, A. L., Komisarow, J. M., Vavilala, M. S., Laskowitz, D. T., … Krishnamoorthy, V. (2023). Utilization and Outcomes of Extracorporeal Membrane Oxygenation Following Traumatic Brain Injury in the United States. J Intensive Care Med, 38(5), 440–448. https://doi.org/10.1177/08850666221139223Full Text Link to Item
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Hurst, J. H., Brucker, A., Zhao, C., Driscoll, H., Hostetler, H. P., Phillips, M., … Goldstein, B. A. (2023). Use of Structured Electronic Health Records Data Elements for the Development of Computable Phenotypes to Identify Potential Adverse Events Associated with Intravenous Immunoglobulin Infusion. Drug Saf, 46(3), 309–318. https://doi.org/10.1007/s40264-023-01276-6Full Text Link to Item
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Chen, J., Ho, M., Lee, K., Song, Y., Fang, Y., Goldstein, B. A., … White, R. (2023). The Current Landscape in Biostatistics of Real-World Data and Evidence: Clinical Study Design and Analysis. Statistics in Biopharmaceutical Research, 15(1), 29–42. https://doi.org/10.1080/19466315.2021.1883474Full Text
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Levenson, M., He, W., Chen, J., Fang, Y., Faries, D., Goldstein, B. A., … Zink, R. C. (2023). Biostatistical Considerations When Using RWD and RWE in Clinical Studies for Regulatory Purposes: A Landscape Assessment. Statistics in Biopharmaceutical Research, 15(1), 3–13. https://doi.org/10.1080/19466315.2021.1883473Full Text
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Bhavsar, N. A., Yang, L. Z., Phelan, M., Shepherd-Banigan, M., Goldstein, B. A., Peskoe, S., … Boulware, L. E. (2022). Association between Gentrification and Health and Healthcare Utilization. J Urban Health, 99(6), 984–997. https://doi.org/10.1007/s11524-022-00692-wFull Text Link to Item
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Goldstein, B. A., Mazurowski, M. A., & Li, C. (2022). The Need for Targeted Labeling of Machine Learning-Based Software as a Medical Device. Jama Netw Open, 5(11), e2242351. https://doi.org/10.1001/jamanetworkopen.2022.42351Full Text Link to Item
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Shavadia, J. S., Wilson, J., Edmonston, D., Platt, A., Ephraim, P., Hall, R., … Scialla, J. J. (2022). Corrigendum to "Statins and atherosclerotic cardiovascular outcomes in patients on incident dialysis and with atherosclerotic heart disease" [Am Heart J (2021) 231:36-44]. Am Heart J, 253, 99–100. https://doi.org/10.1016/j.ahj.2022.06.009Full Text Link to Item
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Soliman, D., Crowley, M. J., Manning, A., Rikhi, A., Chiswell, K., Goldstein, B. A., & Maslow, G. (2022). Transition from pediatric to adult care in type 1 diabetes mellitus: a longitudinal analysis of age at transfer and gap in care. Bmj Open Diabetes Res Care, 10(6). https://doi.org/10.1136/bmjdrc-2022-002937Full Text Link to Item
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Toro, C., Hatfield, J., Temkin, N., Barber, J., Manley, G., Ohnuma, T., … TRACK-TBI Investigators, . (2022). Risk Factors and Neurological Outcomes Associated With Circulatory Shock After Moderate-Severe Traumatic Brain Injury: A TRACK-TBI Study. Neurosurgery, 91(3), 427–436. https://doi.org/10.1227/neu.0000000000002042Full Text Link to Item
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Bedoya, A. D., Economou-Zavlanos, N. J., Goldstein, B. A., Young, A., Jelovsek, J. E., O’Brien, C., … Pencina, M. J. (2022). A framework for the oversight and local deployment of safe and high-quality prediction models. J Am Med Inform Assoc, 29(9), 1631–1636. https://doi.org/10.1093/jamia/ocac078Full Text Link to Item
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Cavalier, J., Zhao, C., Scialla, J., Bedoya, A., & Goldstein, B. A. (2022). Performance of the National Early Warning Score in Hospitalized Patients With Kidney Failure on Maintenance Hemodialysis. Kidney Med, 4(8), 100506. https://doi.org/10.1016/j.xkme.2022.100506Full Text Open Access Copy Link to Item
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Gallagher, D. M., Zhao, C., & Goldstein, B. A. (2022). A Readmission Risk Model for Hospitalized Patients Receiving Dialysis: Evaluation of Predictive Performance. Kidney Med, 4(8), 100507. https://doi.org/10.1016/j.xkme.2022.100507Full Text Link to Item
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Rao, S., Hurst, J. H., Zhao, C., Goldstein, B. A., Thomas, L., Lang, J. E., & Kelly, M. S. (2022). Asthma and the Risk of SARS-CoV-2 Infection Among Children and Adolescents. Pediatrics, 149(6). https://doi.org/10.1542/peds.2021-056164Full Text Link to Item
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Sabharwal, P., Hurst, J. H., Tejwani, R., Hobbs, K. T., Routh, J. C., & Goldstein, B. A. (2022). Correction to: Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity. Bmc Med Inform Decis Mak, 22(1), 128. https://doi.org/10.1186/s12911-022-01846-1Full Text Link to Item
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Saffari, S. E., Volovici, V., Ong, M. E. H., Goldstein, B. A., Vaughan, R., Dammers, R., … Liu, N. (2022). Proper Use of Multiple Imputation and Dealing with Missing Covariate Data. World Neurosurg, 161, 284–290. https://doi.org/10.1016/j.wneu.2021.10.090Full Text Link to Item
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Yuan, H., Xie, F., Ong, M. E. H., Ning, Y., Chee, M. L., Saffari, S. E., … Liu, N. (2022). AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. J Biomed Inform, 129, 104072. https://doi.org/10.1016/j.jbi.2022.104072Full Text Link to Item
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Xu, Z., Zhao, C., Scales, C. D., Henao, R., & Goldstein, B. A. (2022). Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data. Bmc Med Inform Decis Mak, 22(1), 110. https://doi.org/10.1186/s12911-022-01855-0Full Text Link to Item
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Hurst, J. H., Zhao, C., Hostetler, H. P., Ghiasi Gorveh, M., Lang, J. E., & Goldstein, B. A. (2022). Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models. Bmc Med Inform Decis Mak, 22(1), 108. https://doi.org/10.1186/s12911-022-01847-0Full Text Link to Item
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Yan, M., Pencina, M. J., Boulware, L. E., & Goldstein, B. A. (2022). Observability and its impact on differential bias for clinical prediction models. J Am Med Inform Assoc, 29(5), 937–943. https://doi.org/10.1093/jamia/ocac019Full Text Link to Item
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Ning, Y., Ong, M. E. H., Chakraborty, B., Goldstein, B. A., Ting, D. S. W., Vaughan, R., & Liu, N. (2022). Shapley variable importance cloud for interpretable machine learning. Patterns (N Y), 3(4), 100452. https://doi.org/10.1016/j.patter.2022.100452Full Text Link to Item
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Sabharwal, P., Hurst, J. H., Tejwani, R., Hobbs, K. T., Routh, J. C., & Goldstein, B. A. (2022). Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity. Bmc Med Inform Decis Mak, 22(1), 84. https://doi.org/10.1186/s12911-022-01827-4Full Text Link to Item
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Gallagher, D., Greenland, M., Lindquist, D., Sadolf, L., Scully, C., Knutsen, K., … Burgess, L. (2022). Inpatient pharmacists using a readmission risk model in supporting discharge medication reconciliation to reduce unplanned hospital readmissions: a quality improvement intervention. Bmj Open Qual, 11(1). https://doi.org/10.1136/bmjoq-2021-001560Full Text Link to Item
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Stolte, A., Merli, M. G., Hurst, J. H., Liu, Y., Wood, C. T., & Goldstein, B. A. (2022). Using Electronic Health Records to understand the population of local children captured in a large health system in Durham County, NC, USA, and implications for population health research. Soc Sci Med, 296, 114759. https://doi.org/10.1016/j.socscimed.2022.114759Full Text Link to Item
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Toro, C., Temkin, N., Barber, J., Manley, G., Jain, S., Ohnuma, T., … TRACK-TBI Investigators, . (2022). Association of Vasopressor Choice with Clinical and Functional Outcomes Following Moderate to Severe Traumatic Brain Injury: A TRACK-TBI Study. Neurocrit Care, 36(1), 180–191. https://doi.org/10.1007/s12028-021-01280-7Full Text Link to Item
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Ming, D. Y., Li, T., Ross, M. H., Frush, J., He, J., Goldstein, B. A., … Bosworth, H. B. (2022). Feasibility of Post-hospitalization Telemedicine Video Visits for Children With Medical Complexity. J Pediatr Health Care, 36(2), e22–e35. https://doi.org/10.1016/j.pedhc.2021.10.001Full Text Link to Item
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Xie, F., Ning, Y., Yuan, H., Goldstein, B. A., Ong, M. E. H., Liu, N., & Chakraborty, B. (2022). AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. J Biomed Inform, 125, 103959. https://doi.org/10.1016/j.jbi.2021.103959Full Text Link to Item
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Pagidipati, N. J., Phelan, M., Page, C., Clowse, M., Henao, R., Peterson, E. D., & Goldstein, B. A. (2021). The importance of weight stabilization amongst those with overweight or obesity: Results from a large health care system. Prev Med Rep, 24, 101615. https://doi.org/10.1016/j.pmedr.2021.101615Full Text Link to Item
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Hurst, J. H., Zhao, C., Fitzpatrick, N. S., Goldstein, B. A., & Lang, J. E. (2021). Reduced pediatric urgent asthma utilization and exacerbations during the COVID-19 pandemic. Pediatr Pulmonol, 56(10), 3166–3173. https://doi.org/10.1002/ppul.25578Full Text Link to Item
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Krishnamoorthy, V., Temkin, N., Barber, J., Foreman, B., Komisarow, J., Korley, F. K., … Transforming Clinical Research and Knowledge in TBI (TRACK-TBI) Investigators, . (2021). Association of Early Multiple Organ Dysfunction With Clinical and Functional Outcomes Over the Year Following Traumatic Brain Injury: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study. Crit Care Med, 49(10), 1769–1778. https://doi.org/10.1097/CCM.0000000000005055Full Text Link to Item
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Xie, F., Ong, M. E. H., Liew, J. N. M. H., Tan, K. B. K., Ho, A. F. W., Nadarajan, G. D., … Liu, N. (2021). Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions. Jama Netw Open, 4(8), e2118467. https://doi.org/10.1001/jamanetworkopen.2021.18467Full Text Open Access Copy Link to Item
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Xiu, Z., Tao, C., Gao, M., Davis, C., Goldstein, B. A., & Henao, R. (2021). Variational Disentanglement for Rare Event Modeling. Proc Aaai Conf Artif Intell, 35(12), 10469–10477.Link to Item
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McPeek-Hinz, E., Boazak, M., Sexton, J. B., Adair, K. C., West, V., Goldstein, B. A., … Bae, J. (2021). Clinician Burnout Associated With Sex, Clinician Type, Work Culture, and Use of Electronic Health Records. Jama Netw Open, 4(4), e215686. https://doi.org/10.1001/jamanetworkopen.2021.5686Full Text Open Access Copy Link to Item
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Moehring, R. W., Phelan, M., Lofgren, E., Nelson, A., Dodds Ashley, E., Anderson, D. J., & Goldstein, B. A. (2021). Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients. Jama Netw Open, 4(3), e213460. https://doi.org/10.1001/jamanetworkopen.2021.3460Full Text Link to Item
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Bent, B., Enache, O. M., Goldstein, B., Kibbe, W., & Dunn, J. P. (2021). Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'. Npj Digit Med, 4(1), 39. https://doi.org/10.1038/s41746-021-00409-4Full Text Link to Item
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Shavadia, J. S., Wilson, J., Edmonston, D., Platt, A., Ephraim, P., Hall, R., … Scialla, J. J. (2021). Statins and atherosclerotic cardiovascular outcomes in patients on incident dialysis and with atherosclerotic heart disease. Am Heart J, 231, 36–44. https://doi.org/10.1016/j.ahj.2020.10.055Full Text Link to Item
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Lang, J. E., Tang, M., Zhao, C., Hurst, J., Wu, A., & Goldstein, B. A. (2020). Well-Child Care Attendance and Risk of Asthma Exacerbations. Pediatrics, 146(6). https://doi.org/10.1542/peds.2020-1023Full Text Link to Item
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Goldstein, B. A., & Pencina, M. J. (2020). Testing Clinical Prediction Models. Jama, 324(19), 1998–1999. https://doi.org/10.1001/jama.2020.19392Full Text Link to Item
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Goldstein, B. A., Cerullo, M., Krishnamoorthy, V., Blitz, J., Mureebe, L., Webster, W., … Scales, C. D. (2020). Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations. Jama Netw Open, 3(11), e2023547. https://doi.org/10.1001/jamanetworkopen.2020.23547Full Text Link to Item
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Le, E., Shrader, P., Bosworth, H., Hurst, J., Goldstein, B., Drake, A., … Allori, A. C. (2020). Provision and Utilization of Team- and Community-Based Operative Care for Patients With Cleft Lip/Palate in North Carolina. Cleft Palate Craniofac J, 57(11), 1298–1307. https://doi.org/10.1177/1055665620946565Full Text Link to Item
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Tang, M., Goldstein, B. A., He, J., Hurst, J. H., & Lang, J. E. (2020). Performance of a computable phenotype for pediatric asthma using the problem list. Ann Allergy Asthma Immunol, 125(5), 611-613.e1. https://doi.org/10.1016/j.anai.2020.07.009Full Text Link to Item
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He, J., Ghorveh, M. G., Hurst, J. H., Tang, M., Alhanti, B., Lang, J. E., & Goldstein, B. A. (2020). Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data. Bmc Public Health, 20(1), 1626. https://doi.org/10.1186/s12889-020-09731-0Full Text Link to Item
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Xie, F., Chakraborty, B., Ong, M. E. H., Goldstein, B. A., & Liu, N. (2020). AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records. Jmir Med Inform, 8(10), e21798. https://doi.org/10.2196/21798Full Text Link to Item
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Bedoya, A. D., Bhavsar, N. A., Adagarla, B., Page, C. B., Goldstein, B. A., & MacIntyre, N. R. (2020). Unanticipated Respiratory Compromise and Unplanned Intubations on General Medical and Surgical Floors. Respir Care, 65(9), 1233–1240. https://doi.org/10.4187/respcare.07438Full Text Link to Item
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Woo, M., Alhanti, B., Lusk, S., Dunston, F., Blackwelder, S., Lytle, K. S., … Bedoya, A. (2020). Evaluation of ML-Based Clinical Decision Support Tool to Replace an Existing Tool in an Academic Health System: Lessons Learned. J Pers Med, 10(3). https://doi.org/10.3390/jpm10030104Full Text Open Access Copy Link to Item
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Gallagher, D., Zhao, C., Brucker, A., Massengill, J., Kramer, P., Poon, E. G., & Goldstein, B. A. (2020). Implementation and Continuous Monitoring of an Electronic Health Record Embedded Readmissions Clinical Decision Support Tool. J Pers Med, 10(3). https://doi.org/10.3390/jpm10030103Full Text Link to Item
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Goldstein, B. A., & Bedoya, A. D. (2020). Guiding Clinical Decisions Through Predictive Risk Rules. Jama Netw Open, 3(8), e2013101. https://doi.org/10.1001/jamanetworkopen.2020.13101Full Text Link to Item
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Esserman, D., Goldstein, B. A., Levenson, M., Platt, R., Roe, M. T., & Zeliadt, S. (2020). University of Pennsylvania 12th annual conference on statistical issues in clinical trials: Electronic health records in randomized clinical trials-challenges and opportunities (morning panel session). Clin Trials, 17(4), 405–413. https://doi.org/10.1177/1740774520928607Full Text Link to Item
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Goldstein, B. A. (2020). Five analytic challenges in working with electronic health records data to support clinical trials with some solutions. Clin Trials, 17(4), 370–376. https://doi.org/10.1177/1740774520931211Full Text Link to Item
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Hurst, J. H., Liu, Y., Maxson, P. J., Permar, S. R., Boulware, L. E., & Goldstein, B. A. (2020). Development of an electronic health records datamart to support clinical and population health research. J Clin Transl Sci, 5(1), e13. https://doi.org/10.1017/cts.2020.499Full Text Link to Item
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Stirling, A., Tubb, T., Reiff, E. S., Grotegut, C. A., Gagnon, J., Li, W., … Goldstein, B. A. (2020). Identified themes of interactive visualizations overlayed onto EHR data: an example of improving birth center operating room efficiency. J Am Med Inform Assoc, 27(5), 783–787. https://doi.org/10.1093/jamia/ocaa016Full Text Link to Item
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Pencina, M. J., Goldstein, B. A., & D’Agostino, R. B. (2020). Prediction Models - Development, Evaluation, and Clinical Application. N Engl J Med, 382(17), 1583–1586. https://doi.org/10.1056/NEJMp2000589Full Text Link to Item
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Bent, B., Goldstein, B. A., Kibbe, W. A., & Dunn, J. P. (2020). Investigating sources of inaccuracy in wearable optical heart rate sensors. Npj Digit Med, 3(1), 18. https://doi.org/10.1038/s41746-020-0226-6Full Text Link to Item
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Bent, B., Goldstein, B. A., Kibbe, W. A., & Dunn, J. P. (2020). Investigating sources of inaccuracy in wearable optical heart rate sensors. Npj Digit Med, 3, 18. https://doi.org/10.1038/s41746-020-0226-6Full Text Open Access Copy Link to Item
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Kaufman, B. G., Klemish, D., Olson, A., Kassner, C. T., Reiter, J. P., Harker, M., … Bhavsar, N. A. (2020). Use of Hospital Referral Regions in Evaluating End-of-Life Care. J Palliat Med, 23(1), 90–96. https://doi.org/10.1089/jpm.2019.0056Full Text Link to Item
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Lin, Q., Betancourt, B., Goldstein, B. A., & Steorts, R. C. (2020). Prediction of appointment no-shows using electronic health records. J Appl Stat, 47(7), 1220–1234. https://doi.org/10.1080/02664763.2019.1672631Full Text Link to Item
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O’Brien, C., Goldstein, B. A., Shen, Y., Phelan, M., Lambert, C., Bedoya, A. D., & Steorts, R. C. (2020). Development, Implementation, and Evaluation of an In-Hospital Optimized Early Warning Score for Patient Deterioration. Mdm Policy Pract, 5(1), 2381468319899663. https://doi.org/10.1177/2381468319899663Full Text Open Access Copy Link to Item
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Goldstein, B. A., Phelan, M., Pagidipati, N. J., & Peskoe, S. B. (2019). How and when informative visit processes can bias inference when using electronic health records data for clinical research. J Am Med Inform Assoc, 26(12), 1609–1617. https://doi.org/10.1093/jamia/ocz148Full Text Link to Item
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Fayanju, O. M., Yenokyan, K., Ren, Y., Goldstein, B. A., Stashko, I., Power, S., … Hwang, E. S. (2019). The effect of treatment on patient-reported distress after breast cancer diagnosis. Cancer, 125(17), 3040–3049. https://doi.org/10.1002/cncr.32174Full Text Link to Item
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Clement, M. E., Johnston, B. E., Eagle, C., Taylor, D., Rosengren, A. L., Goldstein, B. A., & Seña, A. C. (2019). Advancing the HIV Pre-Exposure Prophylaxis Continuum: A Collaboration Between a Public Health Department and a Federally Qualified Health Center in the Southern United States. Aids Patient Care Stds, 33(8), 366–371. https://doi.org/10.1089/apc.2019.0054Full Text Link to Item
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Goldstein, B. A., Phelan, M., Pagidipati, N. J., Holman, R. R., Pencina, M. J., & Stuart, E. A. (2019). An outcome model approach to transporting a randomized controlled trial results to a target population. J Am Med Inform Assoc, 26(5), 429–437. https://doi.org/10.1093/jamia/ocy188Full Text Link to Item
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Setji, T. L., Page, C., Pagidipati, N., & Goldstein, B. A. (2019). DIFFERENCES IN ACHIEVING HBA1C GOALS AMONG PATIENTS SEEN BY ENDOCRINOLOGISTS AND PRIMARY CARE PROVIDERS. Endocr Pract, 25(5), 461–469. https://doi.org/10.4158/EP-2018-0405Full Text Link to Item
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Routh, J. C., Wolf, S., Tejwani, R., Jiang, R., Pomann, G.-M., Goldstein, B. A., … Allori, A. C. (2019). Early Impact of the Patient Protection and Affordable Care Act on Delivery of Children's Surgical Care. Clin Pediatr (Phila), 58(4), 453–460. https://doi.org/10.1177/0009922818825156Full Text Link to Item
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Goldstein, B. A., & Rigdon, J. (2019). Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest. Jama Netw Open, 2(3), e190004. https://doi.org/10.1001/jamanetworkopen.2019.0004Full Text Link to Item
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Bedoya, A. D., Clement, M. E., Phelan, M., Steorts, R. C., O’Brien, C., & Goldstein, B. A. (2019). Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration. Crit Care Med, 47(1), 49–55. https://doi.org/10.1097/CCM.0000000000003439Full Text Link to Item
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Cox, M. L., Farjat, A. E., Risoli, T. J., Peskoe, S., Goldstein, B. A., Turner, D. A., & Migaly, J. (2018). Documenting or Operating: Where Is Time Spent in General Surgery Residency? J Surg Educ, 75(6), e97–e106. https://doi.org/10.1016/j.jsurg.2018.10.010Full Text Link to Item
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Bhavsar, N. A., Gao, A., Phelan, M., Pagidipati, N. J., & Goldstein, B. A. (2018). Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data. Jama Netw Open, 1(5), e182716. https://doi.org/10.1001/jamanetworkopen.2018.2716Full Text Link to Item
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Airy, M., Chang, T. I., Ding, V. Y., Goldstein, B. A., Bansal, N., Niu, J., … Winkelmayer, W. C. (2018). Risk profiles for acute health events after incident atrial fibrillation in patients with end-stage renal disease on hemodialysis. Nephrol Dial Transplant, 33(9), 1590–1597. https://doi.org/10.1093/ndt/gfx301Full Text Link to Item
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Goldstein, B. A., Carlson, D., & Bhavsar, N. A. (2018). Subject Matter Knowledge in the Age of Big Data and Machine Learning. Jama Netw Open, 1(4), e181568. https://doi.org/10.1001/jamanetworkopen.2018.1568Full Text Link to Item
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Ding, X., Gellad, Z. F., Mather, C., Barth, P., Poon, E. G., Newman, M., & Goldstein, B. A. (2018). Designing risk prediction models for ambulatory no-shows across different specialties and clinics. J Am Med Inform Assoc, 25(8), 924–930. https://doi.org/10.1093/jamia/ocy002Full Text Open Access Copy Link to Item
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Chapfuwa, P., Tao, C., Li, C., Page, C., Goldstein, B., Carin, L., & Henao, R. (2018). Adversarial time-to-event modeling. 35th International Conference on Machine Learning, Icml 2018, 2, 1143–1156.
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Phelan, M., Bhavsar, N. A., & Goldstein, B. A. (2017). Illustrating Informed Presence Bias in Electronic Health Records Data: How Patient Interactions with a Health System Can Impact Inference. Egems (Wash Dc), 5(1), 22. https://doi.org/10.5334/egems.243Full Text Link to Item
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Pun, P. H., Goldstein, B. A., Gallis, J. A., Middleton, J. P., & Svetkey, L. P. (2017). Serum Potassium Levels and Risk of Sudden Cardiac Death Among Patients With Chronic Kidney Disease and Significant Coronary Artery Disease. Kidney Int Rep, 2(6), 1122–1131. https://doi.org/10.1016/j.ekir.2017.07.001Full Text Link to Item
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Profit, J., Gould, J. B., Bennett, M., Goldstein, B. A., Draper, D., Phibbs, C. S., & Lee, H. C. (2017). Racial/Ethnic Disparity in NICU Quality of Care Delivery. Pediatrics, 140(3). https://doi.org/10.1542/peds.2017-0918Full Text Link to Item
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Goldstein, B. A., Pomann, G. M., Winkelmayer, W. C., & Pencina, M. J. (2017). A comparison of risk prediction methods using repeated observations: an application to electronic health records for hemodialysis. Stat Med, 36(17), 2750–2763. https://doi.org/10.1002/sim.7308Full Text Link to Item
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Goldstein, B. A., Navar, A. M., & Carter, R. E. (2017). Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges. Eur Heart J, 38(23), 1805–1814. https://doi.org/10.1093/eurheartj/ehw302Full Text Link to Item
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Winkelmayer, W. C., Goldstein, B. A., Mitani, A. A., Ding, V. Y., Airy, M., Mandayam, S., … Fishbane, S. (2017). Safety of Intravenous Iron in Hemodialysis: Longer-term Comparisons of Iron Sucrose Versus Sodium Ferric Gluconate Complex. Am J Kidney Dis, 69(6), 771–779. https://doi.org/10.1053/j.ajkd.2016.10.031Full Text Link to Item
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Spratt, S. E., Pereira, K., Granger, B. B., Batch, B. C., Phelan, M., Pencina, M., … Jelesoff, N. (2017). Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus. J Am Med Inform Assoc, 24(e1), e121–e128. https://doi.org/10.1093/jamia/ocw123Full Text Link to Item
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Brænne, I., Zeng, L., Willenborg, C., Tragante, V., Kessler, T., CARDIoGRAM Consortium, ., … Schunkert, H. (2017). Genomic correlates of glatiramer acetate adverse cardiovascular effects lead to a novel locus mediating coronary risk. Plos One, 12(8), e0182999. https://doi.org/10.1371/journal.pone.0182999Full Text Link to Item
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Goldstein, B. A., Navar, A. M., Pencina, M. J., & Ioannidis, J. P. A. (2017). Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. J Am Med Inform Assoc, 24(1), 198–208. https://doi.org/10.1093/jamia/ocw042Full Text Link to Item
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Goldstein, B. A., Pencina, M. J., Montez-Rath, M. E., & Winkelmayer, W. C. (2017). Predicting mortality over different time horizons: which data elements are needed? J Am Med Inform Assoc, 24(1), 176–181. https://doi.org/10.1093/jamia/ocw057Full Text Link to Item
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Knowles, J. W., Zarafshar, S., Pavlovic, A., Goldstein, B. A., Tsai, S., Li, J., … Assimes, T. L. (2017). Impact of a Genetic Risk Score for Coronary Artery Disease on Reducing Cardiovascular Risk: A Pilot Randomized Controlled Study. Front Cardiovasc Med, 4, 53. https://doi.org/10.3389/fcvm.2017.00053Full Text Link to Item
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Burns, C., Wang, N. E., Goldstein, B. A., & Hernandez-Boussard, T. (2016). Characterization of Young Adult Emergency Department Users: Evidence to Guide Policy. J Adolesc Health, 59(6), 654–661. https://doi.org/10.1016/j.jadohealth.2016.07.011Full Text Link to Item
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Goldstein, B. A., Bhavsar, N. A., Phelan, M., & Pencina, M. J. (2016). Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record. Am J Epidemiol, 184(11), 847–855. https://doi.org/10.1093/aje/kww112Full Text Link to Item
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Goldstein, B. A., Navar, A. M., & Pencina, M. J. (2016). Risk Prediction With Electronic Health Records: The Importance of Model Validation and Clinical Context. Jama Cardiol, 1(9), 976–977. https://doi.org/10.1001/jamacardio.2016.3826Full Text Link to Item
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Assimes, T. L., & Goldstein, B. A. (2016). Genetic cardiovascular risk prediction: are we already there? Eur Heart J, 37(43), 3279–3281. https://doi.org/10.1093/eurheartj/ehw498Full Text Link to Item
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Goldstein, B. A., Thomas, L., Zaroff, J. G., Nguyen, J., Menza, R., & Khush, K. K. (2016). Assessment of Heart Transplant Waitlist Time and Pre- and Post-transplant Failure: A Mixed Methods Approach. Epidemiology, 27(4), 469–476. https://doi.org/10.1097/EDE.0000000000000472Full Text Link to Item
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Hernandez-Boussard, T., Morrison, D., Goldstein, B. A., & Hsia, R. Y. (2016). Relationship of Affordable Care Act Implementation to Emergency Department Utilization Among Young Adults. Ann Emerg Med, 67(6), 714-720.e1. https://doi.org/10.1016/j.annemergmed.2015.11.034Full Text Link to Item
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Goldstein, B. A., Polley, E. C., Briggs, F. B. S., van der Laan, M. J., & Hubbard, A. (2016). Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences. Int J Biostat, 12(1), 117–129. https://doi.org/10.1515/ijb-2015-0014Full Text Link to Item
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Profit, J., Gould, J. B., Bennett, M., Goldstein, B. A., Draper, D., Phibbs, C. S., & Lee, H. C. (2016). The Association of Level of Care With NICU Quality. Pediatrics, 137(3), e20144210. https://doi.org/10.1542/peds.2014-4210Full Text Link to Item
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David, S. P., Wang, A., Kapphahn, K., Hedlin, H., Desai, M., Henderson, M., … Stefanick, M. L. (2016). Gene by Environment Investigation of Incident Lung Cancer Risk in African-Americans. Ebiomedicine, 4, 153–161. https://doi.org/10.1016/j.ebiom.2016.01.002Full Text Open Access Copy Link to Item
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Kelly, K., Grau-Sepulveda, M. V., Goldstein, B. A., Spratt, S. E., Wolfley, A., Hatfield, V., … Granger, B. B. (2016). The agreement of patient-reported versus observed medication adherence in type 2 diabetes mellitus (T2DM). Bmj Open Diabetes Res Care, 4(1), e000182. https://doi.org/10.1136/bmjdrc-2015-000182Full Text Link to Item
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Airy, M., Mandayam, S., Mitani, A. A., Chang, T. I., Ding, V. Y., Brookhart, M. A., … Winkelmayer, W. C. (2015). Comparative outcomes of predominant facility-level use of ferumoxytol versus other intravenous iron formulations in incident hemodialysis patients. Nephrol Dial Transplant, 30(12), 2068–2075. https://doi.org/10.1093/ndt/gfv305Full Text Link to Item
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Salfati, E., Nandkeolyar, S., Fortmann, S. P., Sidney, S., Hlatky, M. A., Quertermous, T., … Assimes, T. L. (2015). Susceptibility Loci for Clinical Coronary Artery Disease and Subclinical Coronary Atherosclerosis Throughout the Life-Course. Circ Cardiovasc Genet, 8(6), 803–811. https://doi.org/10.1161/CIRCGENETICS.114.001071Full Text Link to Item
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Anoshiravani, A., Saynina, O., Chamberlain, L., Goldstein, B. A., Huffman, L. C., Wang, N. E., & Wise, P. H. (2015). Mental Illness Drives Hospitalizations for Detained California Youth. J Adolesc Health, 57(5), 455–461. https://doi.org/10.1016/j.jadohealth.2015.05.006Full Text Link to Item
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Wu, L.-T., Ghitza, U. E., Batch, B. C., Pencina, M. J., Rojas, L. F., Goldstein, B. A., … Brady, K. T. (2015). Substance use and mental diagnoses among adults with and without type 2 diabetes: Results from electronic health records data. Drug Alcohol Depend, 156, 162–169. https://doi.org/10.1016/j.drugalcdep.2015.09.003Full Text Open Access Copy Link to Item
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Goldstein, B. A., Chang, T. I., & Winkelmayer, W. C. (2015). Classifying individuals based on a densely captured sequence of vital signs: An example using repeated blood pressure measurements during hemodialysis treatment. J Biomed Inform, 57, 219–224. https://doi.org/10.1016/j.jbi.2015.08.010Full Text Link to Item
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Goldstein, B. A., Yang, L., Salfati, E., & Assimes, T. L. (2015). Contemporary Considerations for Constructing a Genetic Risk Score: An Empirical Approach. Genet Epidemiol, 39(6), 439–445. https://doi.org/10.1002/gepi.21912Full Text Link to Item
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Rehkopf, D. H., Eisen, E. A., Modrek, S., Mokyr Horner, E., Goldstein, B., Costello, S., … Cullen, M. R. (2015). Early-Life State-of-Residence Characteristics and Later Life Hypertension, Diabetes, and Ischemic Heart Disease. Am J Public Health, 105(8), 1689–1695. https://doi.org/10.2105/AJPH.2014.302547Full Text Link to Item
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Winkelmayer, W. C., Chang, T. I., Mitani, A. A., Wilhelm-Leen, E. R., Ding, V., Chertow, G. M., … Goldstein, B. A. (2015). Longer-term outcomes of darbepoetin alfa versus epoetin alfa in patients with ESRD initiating hemodialysis: a quasi-experimental cohort study. Am J Kidney Dis, 66(1), 106–113. https://doi.org/10.1053/j.ajkd.2015.02.339Full Text Link to Item
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Goldstein, B. A., & Winkelmayer, W. C. (2015). Comparative health services research across populations: the unused opportunities in big data. Kidney Int, 87(6), 1094–1096. https://doi.org/10.1038/ki.2015.91Full Text Link to Item
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Goldstein, B. A., Assimes, T., Winkelmayer, W. C., & Hastie, T. (2015). Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records. Biometrics, 71(2), 478–486. https://doi.org/10.1111/biom.12283Full Text Link to Item
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Rosas, L. G., Thiyagarajan, S., Goldstein, B. A., Drieling, R. L., Romero, P. P., Ma, J., … Stafford, R. S. (2015). The effectiveness of two community-based weight loss strategies among obese, low-income US Latinos. J Acad Nutr Diet, 115(4), 537-50.e2. https://doi.org/10.1016/j.jand.2014.10.020Full Text Link to Item
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Khush, K. K., Zaroff, J. G., Nguyen, J., Menza, R., & Goldstein, B. A. (2015). National decline in donor heart utilization with regional variability: 1995-2010. Am J Transplant, 15(3), 642–649. https://doi.org/10.1111/ajt.13055Full Text Link to Item
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Locke, A. E., Kahali, B., Berndt, S. I., Justice, A. E., Pers, T. H., Day, F. R., … Speliotes, E. K. (2015). Genetic studies of body mass index yield new insights for obesity biology. Nature, 518(7538), 197–206. https://doi.org/10.1038/nature14177Full Text Link to Item
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Khush, K. K., Nguyen, J., Goldstein, B. A., McGlothlin, D. P., & Zaroff, J. G. (2015). Reliability of transthoracic echocardiogram interpretation in potential adult heart transplant donors. J Heart Lung Transplant, 34(2), 266–269. https://doi.org/10.1016/j.healun.2014.09.046Full Text Link to Item
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Profit, J., Goldstein, B. A., Tamaresis, J., Kan, P., & Lee, H. C. (2015). Regional variation in antenatal corticosteroid use: a network-level quality improvement study. Pediatrics, 135(2), e397–e404. https://doi.org/10.1542/peds.2014-2177Full Text Link to Item
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Chen, S., Selamet Tierney, E. S., Khush, K. K., Nguyen, J., Goldstein, B. A., May, L. J., … Rosenthal, D. N. (2015). Reliability of echocardiographic measurements of left ventricular systolic function in potential pediatric heart transplant donors. J Heart Lung Transplant, 34(1), 100–106. https://doi.org/10.1016/j.healun.2014.08.019Full Text Link to Item
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Goldstein, B. A., Knowles, J. W., Salfati, E., Ioannidis, J. P. A., & Assimes, T. L. (2015). Corrigendum: Simple, standardized incorporation of genetic risk into non-genetic risk prediction tools for complex traits: coronary heart disease as an example. Front Genet, 6, 231. https://doi.org/10.3389/fgene.2015.00231Full Text Link to Item
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Hamad, R., Modrek, S., Kubo, J., Goldstein, B. A., & Cullen, M. R. (2015). Using "big data" to capture overall health status: properties and predictive value of a claims-based health risk score. Plos One, 10(5), e0126054. https://doi.org/10.1371/journal.pone.0126054Full Text Link to Item
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Hastings, K. G., Jose, P. O., Kapphahn, K. I., Frank, A. T. H., Goldstein, B. A., Thompson, C. A., … Palaniappan, L. P. (2015). Leading Causes of Death among Asian American Subgroups (2003-2011). Plos One, 10(4), e0124341. https://doi.org/10.1371/journal.pone.0124341Full Text Link to Item
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Jose, P. O., Frank, A. T. H., Kapphahn, K. I., Goldstein, B. A., Eggleston, K., Hastings, K. G., … Palaniappan, L. P. (2014). Cardiovascular disease mortality in Asian Americans. J Am Coll Cardiol, 64(23), 2486–2494. https://doi.org/10.1016/j.jacc.2014.08.048Full Text Link to Item
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Maxwell, B. G., Levitt, J. E., Goldstein, B. A., Mooney, J. J., Nicolls, M. R., Zamora, M., … Dhillon, G. S. (2014). Impact of the lung allocation score on survival beyond 1 year. Am J Transplant, 14(10), 2288–2294. https://doi.org/10.1111/ajt.12903Full Text Link to Item
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Hernandez-Boussard, T., Burns, C. S., Wang, N. E., Baker, L. C., & Goldstein, B. A. (2014). The Affordable Care Act reduces emergency department use by young adults: evidence from three States. Health Aff (Millwood), 33(9), 1648–1654. https://doi.org/10.1377/hlthaff.2014.0103Full Text Link to Item
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Otten, J. J., Saelens, B. E., Kapphahn, K. I., Hekler, E. B., Buman, M. P., Goldstein, B. A., … King, A. C. (2014). Impact of San Francisco's toy ordinance on restaurants and children's food purchases, 2011-2012. Prev Chronic Dis, 11, E122. https://doi.org/10.5888/pcd11.140026Full Text Link to Item
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Kurella-Tamura, M., Goldstein, B. A., Hall, Y. N., Mitani, A. A., & Winkelmayer, W. C. (2014). State medicaid coverage, ESRD incidence, and access to care. J Am Soc Nephrol, 25(6), 1321–1329. https://doi.org/10.1681/ASN.2013060658Full Text Link to Item
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Winkelmayer, W. C., Mitani, A. A., Goldstein, B. A., Brookhart, M. A., & Chertow, G. M. (2014). Trends in anemia care in older patients approaching end-stage renal disease in the United States (1995-2010). Jama Intern Med, 174(5), 699–707. https://doi.org/10.1001/jamainternmed.2014.87Full Text Link to Item
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Dewey, F. E., Grove, M. E., Pan, C., Goldstein, B. A., Bernstein, J. A., Chaib, H., … Quertermous, T. (2014). Clinical interpretation and implications of whole-genome sequencing. Jama, 311(10), 1035–1045. https://doi.org/10.1001/jama.2014.1717Full Text Link to Item
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Kubo, J., Goldstein, B. A., Cantley, L. F., Tessier-Sherman, B., Galusha, D., Slade, M. D., … Cullen, M. R. (2014). Contribution of health status and prevalent chronic disease to individual risk for workplace injury in the manufacturing environment. Occup Environ Med, 71(3), 159–166. https://doi.org/10.1136/oemed-2013-101653Full Text Link to Item
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Goldstein, B. A., Chang, T. I., Mitani, A. A., Assimes, T. L., & Winkelmayer, W. C. (2014). Near-term prediction of sudden cardiac death in older hemodialysis patients using electronic health records. Clin J Am Soc Nephrol, 9(1), 82–91. https://doi.org/10.2215/CJN.03050313Full Text Link to Item
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Goldstein, B. A., Knowles, J. W., Salfati, E., Ioannidis, J. P. A., & Assimes, T. L. (2014). Simple, standardized incorporation of genetic risk into non-genetic risk prediction tools for complex traits: coronary heart disease as an example. Front Genet, 5, 254. https://doi.org/10.3389/fgene.2014.00254Full Text Link to Item
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Chen, D., Li, P.-L., Goldstein, B. A., Cai, W., Thomas, E. L., Chen, F., … Kapahi, P. (2013). Germline signaling mediates the synergistically prolonged longevity produced by double mutations in daf-2 and rsks-1 in C. elegans. Cell Rep, 5(6), 1600–1610. https://doi.org/10.1016/j.celrep.2013.11.018Full Text Link to Item
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Arce, C. M., Goldstein, B. A., Mitani, A. A., Lenihan, C. R., & Winkelmayer, W. C. (2013). Differences in access to kidney transplantation between Hispanic and non-Hispanic whites by geographic location in the United States. Clin J Am Soc Nephrol, 8(12), 2149–2157. https://doi.org/10.2215/CJN.01560213Full Text Link to Item
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Levitt, J. E., Calfee, C. S., Goldstein, B. A., Vojnik, R., & Matthay, M. A. (2013). Early acute lung injury: criteria for identifying lung injury prior to the need for positive pressure ventilation*. Crit Care Med, 41(8), 1929–1937. https://doi.org/10.1097/CCM.0b013e31828a3d99Full Text Link to Item
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Nair, S. S., Mitani, A. A., Goldstein, B. A., Chertow, G. M., Lowenberg, D. W., & Winkelmayer, W. C. (2013). Temporal trends in the incidence, treatment, and outcomes of hip fracture in older patients initiating dialysis in the United States. Clin J Am Soc Nephrol, 8(8), 1336–1342. https://doi.org/10.2215/CJN.10901012Full Text Link to Item
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Arce, C. M., Goldstein, B. A., Mitani, A. A., & Winkelmayer, W. C. (2013). Trends in relative mortality between Hispanic and non-Hispanic whites initiating dialysis: a retrospective study of the US Renal Data System. Am J Kidney Dis, 62(2), 312–321. https://doi.org/10.1053/j.ajkd.2013.02.375Full Text Link to Item
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Chan, K., Patel, R. S., Newcombe, P., Nelson, C. P., Qasim, A., Epstein, S. E., … Ye, S. (2013). Association between the chromosome 9p21 locus and angiographic coronary artery disease burden: a collaborative meta-analysis. J Am Coll Cardiol, 61(9), 957–970. https://doi.org/10.1016/j.jacc.2012.10.051Full Text Link to Item
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Khush, K. K., Menza, R., Nguyen, J., Zaroff, J. G., & Goldstein, B. A. (2013). Donor predictors of allograft use and recipient outcomes after heart transplantation. Circ Heart Fail, 6(2), 300–309. https://doi.org/10.1161/CIRCHEARTFAILURE.112.000165Full Text Link to Item
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CARDIoGRAMplusC4D Consortium, ., Deloukas, P., Kanoni, S., Willenborg, C., Farrall, M., Assimes, T. L., … Samani, N. J. (2013). Large-scale association analysis identifies new risk loci for coronary artery disease. Nat Genet, 45(1), 25–33. https://doi.org/10.1038/ng.2480Full Text Link to Item
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Shen, J. I., Mitani, A. A., Saxena, A. B., Goldstein, B. A., & Winkelmayer, W. C. (2013). Determinants of peritoneal dialysis technique failure in incident US patients. Perit Dial Int, 33(2), 155–166. https://doi.org/10.3747/pdi.2011.00233Full Text Link to Item
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Khush, K. K., Pawlikowska, L., Menza, R. L., Goldstein, B. A., Hayden, V., Nguyen, J., … Zaroff, J. G. (2012). Beta-adrenergic receptor polymorphisms and cardiac graft function in potential organ donors. Am J Transplant, 12(12), 3377–3386. https://doi.org/10.1111/j.1600-6143.2012.04266.xFull Text Link to Item
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Goldstein, B. A., Arce, C. M., Hlatky, M. A., Turakhia, M., Setoguchi, S., & Winkelmayer, W. C. (2012). Trends in the incidence of atrial fibrillation in older patients initiating dialysis in the United States. Circulation, 126(19), 2293–2301. https://doi.org/10.1161/CIRCULATIONAHA.112.099606Full Text Link to Item
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de Bruin, M. A., Kwong, A., Goldstein, B. A., Lipson, J. A., Ikeda, D. M., McPherson, L., … Kurian, A. W. (2012). Breast cancer risk factors differ between Asian and white women with BRCA1/2 mutations. Fam Cancer, 11(3), 429–439. https://doi.org/10.1007/s10689-012-9531-9Full Text Link to Item
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Khush, K. K., Menza, R., Nguyen, J., Goldstein, B. A., Zaroff, J. G., & Drew, B. J. (2012). Electrocardiographic characteristics of potential organ donors and associations with cardiac allograft use. Circ Heart Fail, 5(4), 475–483. https://doi.org/10.1161/CIRCHEARTFAILURE.112.968388Full Text Link to Item
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Knowles, J. W., Assimes, T. L., Kiernan, M., Pavlovic, A., Goldstein, B. A., Yank, V., … Ioannidis, J. P. A. (2012). Randomized trial of personal genomics for preventive cardiology: design and challenges. Circ Cardiovasc Genet, 5(3), 368–376. https://doi.org/10.1161/CIRCGENETICS.112.962746Full Text Link to Item
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Arce, C. M., Mitani, A. A., Goldstein, B. A., & Winkelmayer, W. C. (2012). Hispanic ethnicity and vascular access use in patients initiating hemodialysis in the United States. Clin J Am Soc Nephrol, 7(2), 289–296. https://doi.org/10.2215/CJN.08370811Full Text Link to Item
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Bronson, P. G., Goldstein, B. A., Ramsay, P. P., Beckman, K. B., Noble, J. A., Lane, J. A., … Barcellos, L. F. (2011). The rs4774 CIITA missense variant is associated with risk of systemic lupus erythematosus. Genes Immun, 12(8), 667–671. https://doi.org/10.1038/gene.2011.36Full Text Link to Item
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International Multiple Sclerosis Genetics Consortium, . (2011). Genome-wide association study of severity in multiple sclerosis. Genes Immun, 12(8), 615–625. https://doi.org/10.1038/gene.2011.34Full Text Link to Item
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Goldstein, B. A., Polley, E. C., & Briggs, F. B. S. (2011). Random forests for genetic association studies. Stat Appl Genet Mol Biol, 10(1), 32. https://doi.org/10.2202/1544-6115.1691Full Text Link to Item
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Briggs, F. B. S., Bartlett, S. E., Goldstein, B. A., Wang, J., McCauley, J. L., Zuvich, R. L., … Barcellos, L. F. (2010). Evidence for CRHR1 in multiple sclerosis using supervised machine learning and meta-analysis in 12,566 individuals. Hum Mol Genet, 19(21), 4286–4295. https://doi.org/10.1093/hmg/ddq328Full Text Link to Item
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Briggs, F. B. S., Goldstein, B. A., McCauley, J. L., Zuvich, R. L., De Jager, P. L., Rioux, J. D., … International Multiple Sclerosis Genetics Consortium, . (2010). Variation within DNA repair pathway genes and risk of multiple sclerosis. Am J Epidemiol, 172(2), 217–224. https://doi.org/10.1093/aje/kwq086Full Text Link to Item
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Goldstein, B. A., Hubbard, A. E., Cutler, A., & Barcellos, L. F. (2010). An application of Random Forests to a genome-wide association dataset: methodological considerations & new findings. Bmc Genet, 11, 49. https://doi.org/10.1186/1471-2156-11-49Full Text Link to Item
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Hilner, J. E., Perdue, L. H., Sides, E. G., Pierce, J. J., Wägner, A. M., Aldrich, A., … T1DGC, . (2010). Designing and implementing sample and data collection for an international genetics study: the Type 1 Diabetes Genetics Consortium (T1DGC). Clin Trials, 7(1 Suppl), S5–S32. https://doi.org/10.1177/1740774510373497Full Text Link to Item
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Lieberman, M. A., & Goldstein, B. A. (2006). Not all negative emotions are equal: the role of emotional expression in online support groups for women with breast cancer. Psychooncology, 15(2), 160–168. https://doi.org/10.1002/pon.932Full Text Link to Item
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Lieberman, M. A., & Goldstein, B. A. (2005). Self-help on-line: an outcome evaluation of breast cancer bulletin boards. J Health Psychol, 10(6), 855–862. https://doi.org/10.1177/1359105305057319Full Text Link to Item
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Goldstein, B., & Rosselli, F. (2003). Etiological paradigms of depression: The relationship between perceived causes, empowerment, treatment preferences, and stigma. Journal of Mental Health, 12(6), 551–563. https://doi.org/10.1080/09638230310001627919Full Text
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Book Sections
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Rockhold, F., & Goldstein, B. (n.d.). Pragmatic Randomized Trials Using Claims or Electronic Health Record Data. In L. friedman & N. geller (Eds.), Principles and Practice of Clinical Trials. https://doi.org/10.1007/978-3-319-52677-5_270-1Full Text Link to Item
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Conference Papers
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Chen, J., Xiu, Z., Goldstein, B. A., Henao, R., Carin, L., & Tao, C. (2021). Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. In Adv Neural Inf Process Syst (Vol. 34, pp. 21229–21243). United States.Link to Item
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Bhavsar, N. A., Shepherd-Banigan, M., Phelan, M., Goldstein, B. A., Lunyera, J., Diamantidis, C. J., … Boulware, E. (2019). Abstract 017: Impact of Gentrification on Cardiovascular Disease Surveillance Using Data from the Electronic Health Record. In Circulation (Vol. 139). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1161/circ.139.suppl_1.017Full Text
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Fayanju, O. M., Yenokyan, K., Goldstein, B. A., Stashko, I., Power, S., & Hwang, E. S. (2018). Race, Marital Status and Stage are Associated with Patient-Reported Distress After Breast Cancer Diagnosis: A Review of > 5000 Patient Visits. In Annals of Surgical Oncology (Vol. 25, pp. S54–S54). Chicago, IL: SPRINGER.Link to Item
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Doran, B., Fanaroff, A., Dunning, A., Goldstein, B. A., & Patel, M. R. (2018). A Health System-Customized Risk Model is More Accurate Than a National Risk Model at Predicting Complications Among Patients Post-Percutaneous Coronary Intervention at Duke University Hospital. In Circulation (Vol. 138).Link to Item
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Bhavsar, N. A., Goldstein, B. A., Phelan, M., & Boulware, L. E. (2017). E-Epidemiology to study the Associations of Socioeconomic Status with Risk of Cardiovascular Disease Hospitalization Among Patients with Chronic Kidney Disease. In Circulation (Vol. 135). Portland, OR: LIPPINCOTT WILLIAMS & WILKINS.Link to Item
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Airy, M., Mandayam, S., Mitani, A. A., Chang, T. I., Brookhart, M. A., Goldstein, B. A., & Winkelmayer, W. C. (2015). Outcomes of Facility-level Use of Ferumoxytol versus Other Intravenous Iron Formulations in Incident Hemodialysis Patients. In Pharmacoepidemiology and Drug Safety (Vol. 24, pp. 341–342). WILEY-BLACKWELL.Link to Item
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Winkelmayer, W. C., Mitani, A. A., Brookhart, M. A., & Goldstein, B. A. (2015). FP663COMPARATIVE LONGER-TERM OUTCOMES OF IRON SUCROSE VERSUS SODIUM FERRIC GLUCONATE IN U.S. PATIENTS INITIATING HEMODIALYSIS. A PSEUDO-EXPERIMENTAL STUDY. In Nephrology Dialysis Transplantation (Vol. 30, pp. iii295–iii296). Oxford University Press (OUP). https://doi.org/10.1093/ndt/gfv182.11Full Text
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Khush, K. K., Zaroff, J. G., Nguyen, J., & Goldstein, B. A. (2015). Longer Waiting Time Increases Mortality in Heart Transplantation: An Instrumental Variable Analysis. In The Journal of Heart and Lung Transplantation (Vol. 34, pp. S71–S71). Elsevier BV. https://doi.org/10.1016/j.healun.2015.01.182Full Text
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Levitt, J. E., Lin, M. Y., Liu, K., Goldstein, B. A., & Truwit, J. D. (2015). Increased Central Venous Pressure Reduces Renal Perfusion Pressure And Increases Risk Of Acute Kidney Injury In Patients With Acute Respiratory Distress Syndrome. In American Journal of Respiratory and Critical Care Medicine (Vol. 191). Denver, CO: AMER THORACIC SOC.Link to Item
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Lin, M. Y., Liu, K., Goldstein, B. A., Truwit, J. D., & Levitt, J. E. (2015). Association Between Acute Kidney Injury (aki) And Mortality Differs By Fluid Balance Prior To Onset Of Aki In Patients With Acute Respiratory Distress Syndrome. In American Journal of Respiratory and Critical Care Medicine (Vol. 191). Denver, CO: AMER THORACIC SOC.Link to Item
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Levitt, J. E., Maxwell, B. G., Goldstein, B. A., Nicolls, M. R., Zamora, M. R., Valentine, V. G., … Dhillon, G. S. (2014). Impact Of The Lung Allocation Score On Survival Beyond One Year Post Lung Transplantation. In American Journal of Respiratory and Critical Care Medicine (Vol. 189). AMER THORACIC SOC.Link to Item
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Chan, K., Patel, R. S., Newcombe, P., Nelson, C. P., Qasim, A., Epstein, S. E., … Ye, S. (2013). 126 CHROMOSOME 9P21 LOCUS AND ANGIOGRAPHIC CORONARY ARTERY DISEASE BURDEN: A COLLABORATIVE META-ANALYSIS. In Heart (Vol. 99, p. A75.1-A75). BMJ. https://doi.org/10.1136/heartjnl-2013-304019.126Full Text
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Arce, C. M., Goldstein, B. A., Mitani, A. A., & Winkelmayer, W. C. (2013). DIFFERENCES IN ACCESS TO KIDNEY TRANSPLANTATION BETWEEN HISPANIC AND NON-HISPANIC WHITES IN THE UNITED STATES. In American Journal of Kidney Diseases (Vol. 61, pp. A20–A20). Hofstra N Shore LIJ Sch Med, Div Kidney Dis & Hypertens, Great Neck, NY: W B SAUNDERS CO-ELSEVIER INC.Link to Item
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Nair, S. S., Mitani, A. A., Goldstein, B. A., Chertow, G. M., Lowenberg, D. W., & Winkelmayer, W. C. (2013). TEMPORAL TRENDS IN THE INCIDENCE, TREATMENT, AND OUTCOMES OF HIP FRACTURE IN OLDER PATIENTS INITIATING DIALYSIS IN THE UNITED STATES. In American Journal of Kidney Diseases (Vol. 61, pp. A93–A93). Hofstra N Shore LIJ Sch Med, Div Kidney Dis & Hypertens, Great Neck, NY: W B SAUNDERS CO-ELSEVIER INC.Link to Item
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Khush, K. K., Menza, R., Nguyen, J., Zaroff, J. G., & Goldstein, B. A. (2013). Do Donor Characteristics Matter? Prediction of Graft Utilization and Recipient Outcomes after Heart Transplantation. In The Journal of Heart and Lung Transplantation (Vol. 32, pp. S93–S94). Elsevier BV. https://doi.org/10.1016/j.healun.2013.01.1000Full Text
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de, B. M. A., Kwong, A., Goldstein, B. A., Lipson, J. A., Ikeda, D. M., McPherson, L. A., … Kurian, A. W. (2011). P4-10-10: Breast Cancer Risk Factors among Asian Versus Caucasian Women with BRCA1/2 Mutations. In Cancer Research (Vol. 71). American Association for Cancer Research (AACR). https://doi.org/10.1158/0008-5472.sabcs11-p4-10-10Full Text
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