Benjamin Alan Goldstein | Scholars@Duke

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/

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
ben.goldstein@duke.edu (919) 681-5011

Background
Education, Training, & Certifications
- Ph.D., University of California - Berkeley 2011
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
In the News
- MAR 16, 2016
  
  New Collaborative Seed Grant Program Gives Eight Awards
Expertise
Subject Headings
Research
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
External Relationships
- Newco
Publications & Artistic Works
Selected Publications
- Academic Articles
  - 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.2023.102302
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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/10.1177/08850666221139223
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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/s40264-023-01276-6
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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/10.1080/19466315.2021.1883474
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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/10.1080/19466315.2021.1883473
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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-w
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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.2022.42351
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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.2022.06.009
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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-2022-002937
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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.0000000000002042
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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/ocac078
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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.2022.100506
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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.2022.100507
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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.2021-056164
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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/s12911-022-01846-1
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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.2021.10.090
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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.2022.104072
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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/s12911-022-01855-0
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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/s12911-022-01847-0
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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/ocac019
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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.2022.100452
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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/s12911-022-01827-4
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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-2021-001560
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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.2022.114759
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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/s12028-021-01280-7
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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.2021.10.001
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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.2021.103959
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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.2021.101615
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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.25578
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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.0000000000005055
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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.2021.18467
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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.
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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.2021.5686
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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.2021.3460
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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/s41746-021-00409-4
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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.2020.10.055
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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.2020-1023
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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.2020.19392
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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.2020.23547
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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/10.1177/1055665620946565
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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.2020.07.009
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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/s12889-020-09731-0
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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/10.2196/21798
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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.07438
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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/jpm10030104
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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/jpm10030103
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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.2020.13101
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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/10.1177/1740774520928607
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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/10.1177/1740774520931211
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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.2020.499
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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/ocaa016
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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/NEJMp2000589
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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/s41746-020-0226-6
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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/s41746-020-0226-6
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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.2019.0056
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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/10.1080/02664763.2019.1672631
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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/10.1177/2381468319899663
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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/ocz148
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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.32174
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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.2019.0054
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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/ocy188
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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-2018-0405
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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/10.1177/0009922818825156
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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.2019.0004
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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.0000000000003439
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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.2018.10.010
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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.2018.2716
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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/gfx301
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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.2018.1568
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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/ocy002
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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.
  - 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.243
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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.2017.07.001
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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.2017-0918
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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.7308
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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/ehw302
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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.2016.10.031
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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/ocw123
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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.0182999
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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/ocw042
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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/ocw057
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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.2017.00053
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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.2016.07.011
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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/kww112
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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.2016.3826
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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/ehw498
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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.0000000000000472
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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.2015.11.034
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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-2015-0014
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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.2014-4210
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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.2016.01.002
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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-2015-000182
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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/gfv305
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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.114.001071
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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.2015.05.006
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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.2015.09.003
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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.2015.08.010
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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.21912
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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.2014.302547
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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.2015.02.339
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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.2015.91
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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.12283
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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.2014.10.020
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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.13055
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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/nature14177
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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.2014.09.046
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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.2014-2177
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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.2014.08.019
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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.2015.00231
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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.0126054
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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.0124341
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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.2014.08.048
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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.12903
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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.2014.0103
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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/pcd11.140026
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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.2013060658
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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.2014.87
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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.2014.1717
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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-2013-101653
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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.03050313
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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.2014.00254
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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.2013.11.018
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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.01560213
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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.0b013e31828a3d99
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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.10901012
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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.2013.02.375
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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.2012.10.051
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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.112.000165
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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.2480
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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.2011.00233
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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.x
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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.112.099606
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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/s10689-012-9531-9
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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.112.968388
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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.112.962746
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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.08370811
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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.2011.36
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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.2011.34
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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/10.2202/1544-6115.1691
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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/ddq328
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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/kwq086
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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/10.1186/1471-2156-11-49
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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/10.1177/1740774510373497
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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.932
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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/10.1177/1359105305057319
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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/10.1080/09638230310001627919
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- Book Sections
  - 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_270-1
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- Conference Papers
  - 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.
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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_1.017
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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.
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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).
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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.
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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.
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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/gfv182.11
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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.2015.01.182
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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.
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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.
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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.
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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-2013-304019.126
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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.
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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.
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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.2013.01.1000
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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-p4-10-10
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