Sheng Luo | Scholars@Duke

Sheng Luo
Professor of Biostatistics & Bioinformatics

Current Research Interests

Longitudinal and survival data analysis, functional data analysis, genetic and genomic data, and clinical trial design

Current Appointments & Affiliations

Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2021
Member of the Duke Clinical Research Institute, Duke Clinical Research Institute, Institutes and Centers 2017

Contact Information

2424 Erwin Road, Suite 1102, 11082 Hock Plaza, Durham, NC 27705
Duke Box 2721, Durham, NC 27710
sheng.luo@duke.edu (919) 668-8038
CV
Homepage

Background
Education, Training, & Certifications
- Ph.D., Johns Hopkins University 2008
Duke Appointment History
- Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2019 - 2020
- Associate Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2017 - 2019
Recognition
In the News
- NOV 27, 2018
  
  The DCRI’s Sheng Luo on the benefit of biostatistics
- JAN 8, 2018
  
  Researchers develop new model to predict progression to Alzheimer’s in patients with mild cognitive impairment
- MAY 7, 2017 IOS Press
  
  Prediction of Conversion to Alzheimer’s Disease with Longitudinal Measures and Time-To-Event Data
Awards & Honors
- Fellow of the American Statistical Association (ASA). American Statistical Association . 2020
- R56AG064803. NIH/NIA. September 1, 2019
- 1R56AG062302. NIH/NIA. September 30, 2018
- 5U01NS043127. NIH/NINDS. June 1, 2016
- R01NS091307. NIH/NINDS. September 30, 2015
Expertise
Subject Headings
Research
Selected Grants
- Accuracy and Precision in CT Quantification of COPD Through Virtual Imaging Trials awarded by National Institutes of Health 2021 - 2026
- Synthetic lethality by targeting the core senescent mechanism in lung cancer. awarded by National Institutes of Health 2020 - 2025
- Vestibulodynia: Understanding Pathophysiology and Determining Appropriate Treatments (Vestibulodynia: UPDATe) awarded by National Institutes of Health 2018 - 2023
- Novel Latent Trait Models of Huntington's disease awarded by CHDI Foundation 2021 - 2022
- Parkinson's Outcomes Project Statistical Core Agreement awarded by Parkinson Foundation 2021 - 2022
- Integrative modeling and dynamic prediction of Alzheimer's disease awarded by National Institutes of Health 2020 - 2022
- Determinants of Incident Stroke Cognitive Outcomes and Vascular Effects on RecoverY awarded by Johns Hopkins University 2019 - 2021
- Model for Predicting Efficacy of Treatment and Complications in Women after Intradetrusor OnabotulinumtoxinA for Non-Neurogenic Urgency Incontinence" awarded by Society of Urodynamics, Female Pelvic Medicine and Urogenital Reconstruction 2020 - 2021
- 2/5 HEAL Consortium: Establishing Innovative Approaches for the HEALthy Brain and Child Development Study awarded by National Institutes of Health 2019 - 2021
- Statistical Support for Parkinsons Outcomes Project Sub-studies awarded by Parkinson Foundation 2020 - 2021
- Statistical Methods for Clinical Trials with Multivariate Longitudinal Outcomes awarded by National Institutes of Health 2017 - 2020
- Integrative modeling and dynamic prediction of Alzheimer's disease awarded by National Institutes of Health 2019 - 2020
- Shared genetic, epigenetic, and transcriptomic profiles between AD and PTSD: molecular insights into the heterogeneity of neuropsychiatric symptoms in Alzheimers Disease awarded by National Institutes of Health 2018 - 2020
- Dynamic monitoring and risk prediction of Huntington's disease awarded by CHDI Foundation 2019 - 2020
External Relationships
- Beijing Friendship Hospital
- East China Normal University
- Movement Disorder Society
- Norman Med & Health -Changchun
- Tiantan Hospital - Beijing
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Mu, Rui, Hongliang Liu, Sheng Luo, Edward F. Patz, Carolyn Glass, Li Su, Mulong Du, David C. Christiani, Lei Jin, and Qingyi Wei. “Genetic variants of CHEK1, PRIM2 and CDK6 in the mitotic phase-related pathway are associated with nonsmall cell lung cancer survival.” Int J Cancer 149, no. 6 (September 15, 2021): 1302–12. https://doi.org/10.1002/ijc.33702.
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  - Mao, Rui, Kan Li, Jian-Qiang Cai, Sheng Luo, Megan Turner, Dan Blazer, and Hong Zhao. “Adjuvant Chemotherapy Versus Observation Following Resection for Patients With Nonmetastatic Poorly Differentiated Colorectal Neuroendocrine Carcinomas.” Ann Surg 274, no. 2 (August 1, 2021): e126–33. https://doi.org/10.1097/SLA.0000000000003562.
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  - Wu, Yufeng, Zhensheng Liu, Dongfang Tang, Hongliang Liu, Sheng Luo, Thomas E. Stinchcombe, Carolyn Glass, et al. “Potentially functional variants of HBEGF and ITPR3 in GnRH signaling pathway genes predict survival of non-small cell lung cancer patients.” Transl Res 233 (July 2021): 92–103. https://doi.org/10.1016/j.trsl.2020.12.009.
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  - Yang, Sen, Dongfang Tang, Yu Chen Zhao, Hongliang Liu, Sheng Luo, Thomas E. Stinchcombe, Carolyn Glass, et al. “Potentially functional variants of ERAP1, PSMF1 and NCF2 in the MHC-I-related pathway predict non-small cell lung cancer survival.” Cancer Immunol Immunother, March 2, 2021. https://doi.org/10.1007/s00262-021-02877-9.
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  - Wang, Haijiao, Hongliang Liu, Wei Dai, Sheng Luo, Christopher I. Amos, Jeffrey E. Lee, Xin Li, Ying Yue, Hongmei Nan, and Qingyi Wei. “Association of genetic variants of TMEM135 and PEX5 in the peroxisome pathway with cutaneous melanoma-specific survival.” Ann Transl Med 9, no. 5 (March 2021): 396. https://doi.org/10.21037/atm-20-2117.
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  - Wildman-Tobriner, Benjamin, Lawrence Ngo, Tracy A. Jaffe, Wendy L. Ehieli, Lisa M. Ho, Reginald Lerebours, Sheng Luo, and Brian C. Allen. “Automated Structured Reporting for Thyroid Ultrasound: Effect on Reporting Errors and Efficiency.” J Am Coll Radiol 18, no. 2 (February 2021): 265–73. https://doi.org/10.1016/j.jacr.2020.07.024.
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  - Li, Cai, Luo Xiao, and Sheng Luo. “Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease.” Biometrics, January 26, 2021. https://doi.org/10.1111/biom.13427.
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  - Lin, Jeffrey, Kan Li, and Sheng Luo. “Functional survival forests for multivariate longitudinal outcomes: Dynamic prediction of Alzheimer's disease progression.” Stat Methods Med Res 30, no. 1 (January 2021): 99–111. https://doi.org/10.1177/0962280220941532.
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  - Siuda, Joanna, Magdalena Boczarska-Jedynak, Sławomir Budrewicz, Jarosław Dulski, Monika Figura, Urszula Fiszer, Agata Gajos, et al. “Validation of the Polish version of the Unified Dyskinesia Rating Scale (UDysRS).” Neurol Neurochir Pol 55, no. 2 (2021): 186–94. https://doi.org/10.5603/PJNNS.a2021.0010.
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  - Zhao, Lingling, Hongliang Liu, Sheng Luo, Patricia G. Moorman, Kyle M. Walsh, Wei Li, and Qingyi Wei. “Associations between genetic variants of KIF5B, FMN1, and MGAT3 in the cadherin pathway and pancreatic cancer risk.” Cancer Med 9, no. 24 (December 2020): 9620–31. https://doi.org/10.1002/cam4.3603.
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  - Chen, Qi-Chen, Qi-Wen Zheng, Sheng Luo, and Hong Zhao. “Comment on "Resection of the Primary Gastrointestinal Neuroendocrine Tumor Improves Survival With or Without Liver Treatment".” Ann Surg, October 15, 2020. https://doi.org/10.1097/SLA.0000000000004262.
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  - Dai, W., H. Liu, Y. Liu, X. Xu, D. Qian, S. Luo, E. Cho, et al. “Genetic variants in the folate metabolic pathway genes predict cutaneous melanoma-specific survival.” Br J Dermatol 183, no. 4 (October 2020): 719–28. https://doi.org/10.1111/bjd.18878.
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  - George, Steven Z., Cai Li, Sheng Luo, Maggie E. Horn, and Trevor A. Lentz. “Longitudinal Monitoring of Pain Associated Distress With the Optimal Screening for Prediction of Referral and Outcome Yellow Flag Tool: Predicting Reduction in Pain Intensity and Disability.” Arch Phys Med Rehabil 101, no. 10 (October 2020): 1763–70. https://doi.org/10.1016/j.apmr.2020.05.025.
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  - Gu, Ning, Wei Dai, Hongliang Liu, Jie Ge, Sheng Luo, Eunyoung Cho, Christopher I. Amos, et al. “Genetic variants in TKT and DERA in the nicotinamide adenine dinucleotide phosphate pathway predict melanoma survival.” Eur J Cancer 136 (September 2020): 84–94. https://doi.org/10.1016/j.ejca.2020.04.049.
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  - Lutz, Michael W., Sheng Luo, Douglas E. Williamson, and Ornit Chiba-Falek. “Shared genetic etiology underlying late-onset Alzheimer's disease and posttraumatic stress syndrome.” Alzheimers Dement 16, no. 9 (September 2020): 1280–92. https://doi.org/10.1002/alz.12128.
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  - Tosin, Michelle Hyczy de Siqueira, Christopher G. Goetz, Sheng Luo, Dongrak Choi, and Glenn T. Stebbins. “Item Response Theory Analysis of the MDS-UPDRS Motor Examination: Tremor vs. Nontremor Items.” Mov Disord 35, no. 9 (September 2020): 1587–95. https://doi.org/10.1002/mds.28110.
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  - He, Mu, Ziyi Wang, Leith Rankine, Sheng Luo, John Nouls, Rohan Virgincar, Joseph Mammarappallil, and Bastiaan Driehuys. “Generalized Linear Binning to Compare Hyperpolarized 129Xe Ventilation Maps Derived from 3D Radial Gas Exchange Versus Dedicated Multislice Gradient Echo MRI.” Acad Radiol 27, no. 8 (August 2020): e193–203. https://doi.org/10.1016/j.acra.2019.10.016.
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  - Liu, Xiaowen, Danwen Qian, Hongliang Liu, James L. Abbruzzese, Sheng Luo, Kyle M. Walsh, and Qingyi Wei. “Genetic variants of the peroxisome proliferator-activated receptor (PPAR) signaling pathway genes and risk of pancreatic cancer.” Mol Carcinog 59, no. 8 (August 2020): 930–39. https://doi.org/10.1002/mc.23208.
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  - Zhao, Yu Chen, Dongfang Tang, Sen Yang, Hongliang Liu, Sheng Luo, Thomas E. Stinchcombe, Carolyn Glass, et al. “Novel Variants of ELP2 and PIAS1 in the Interferon Gamma Signaling Pathway Are Associated with Non-Small Cell Lung Cancer Survival.” Cancer Epidemiol Biomarkers Prev 29, no. 8 (August 2020): 1679–88. https://doi.org/10.1158/1055-9965.EPI-19-1450.
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  - Yang, Sen, Dongfang Tang, Yu C. Zhao, Hongliang Liu, Sheng Luo, Thomas E. Stinchcombe, Carolyn Glass, et al. “Novel genetic variants in KIF16B and NEDD4L in the endosome-related genes are associated with nonsmall cell lung cancer survival.” Int J Cancer 147, no. 2 (July 15, 2020): 392–403. https://doi.org/10.1002/ijc.32739.
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  - Dai, Wei, Hongliang Liu, Ka Chen, Xinyuan Xu, Danwen Qian, Sheng Luo, Christopher I. Amos, et al. “Genetic variants in PDSS1 and SLC16A6 of the ketone body metabolic pathway predict cutaneous melanoma-specific survival.” Mol Carcinog 59, no. 6 (June 2020): 640–50. https://doi.org/10.1002/mc.23191.
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  - Deng, Wei, Hongliang Liu, Sheng Luo, Jeffrey Clarke, Carolyn Glass, Li Su, Lijuan Lin, David C. Christiani, and Qingyi Wei. “APOB Genotypes and CDH13 Haplotypes in the Cholesterol-Related Pathway Genes Predict Non-Small Cell Lung Cancer Survival.” Cancer Epidemiol Biomarkers Prev 29, no. 6 (June 2020): 1204–13. https://doi.org/10.1158/1055-9965.EPI-19-1262.
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  - Goetz, Christopher G., Glenn T. Stebbins, and Sheng Luo. “Movement Disorder Society-Unified Parkinson's Disease Rating Scale Use in the Covid-19 Era.” Mov Disord 35, no. 6 (June 2020): 911. https://doi.org/10.1002/mds.28094.
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  - Qian, Danwen, Hongliang Liu, Lingling Zhao, Xiaomeng Wang, Sheng Luo, Patricia G. Moorman, Edward F. Patz, et al. “Novel genetic variants in genes of the Fc gamma receptor-mediated phagocytosis pathway predict non-small cell lung cancer survival.” Transl Lung Cancer Res 9, no. 3 (June 2020): 575–86. https://doi.org/10.21037/tlcr-19-318.
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  - Schwartz, Fides R., Brian I. Shaw, Reginald Lerebours, Federica Vernuccio, Francesca Rigiroli, Fernando Gonzalez, Sheng Luo, et al. “Correlation of preoperative imaging characteristics with donor outcomes and operative difficulty in laparoscopic donor nephrectomy.” Am J Transplant 20, no. 3 (March 2020): 752–60. https://doi.org/10.1111/ajt.15608.
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  - Chaudhry, Mohammad, Katrina A. McGinty, Benjamin Mervak, Reginald Lerebours, Cai Li, Erin Shropshire, James Ronald, et al. “The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma.” Radiology 294, no. 2 (February 2020): 320–26. https://doi.org/10.1148/radiol.2019191581.
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  - Zhou, Bingrong, Yu Chen Zhao, Hongliang Liu, Sheng Luo, Christopher I. Amos, Jeffrey E. Lee, Xin Li, Hongmei Nan, and Qingyi Wei. “Novel Genetic Variants of ALG6 and GALNTL4 of the Glycosylation Pathway Predict Cutaneous Melanoma-Specific Survival.” Cancers (Basel) 12, no. 2 (January 24, 2020). https://doi.org/10.3390/cancers12020288.
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  - Faust-Socher, Achinoam, Saar Anis, Meir Kestenbaum, Herzl Shabtai, Tali Taichman, Aya Bar David, Adi Ezra, et al. “Validation of the Hebrew Version of the Unified Dyskinesia Rating Scale.” Neuroepidemiology 54, no. 4 (2020): 356–62. https://doi.org/10.1159/000507827.
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  - Li, Cai, Luo Xiao, and Sheng Luo. “Fast Covariance Estimation for Multivariate Sparse Functional Data.” Stat (Int Stat Inst) 9, no. 1 (2020). https://doi.org/10.1002/sta4.245.
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  - Liu, Lihua, Hongliang Liu, Sheng Luo, Edward F. Patz, Carolyn Glass, Li Su, Lijuan Lin, David C. Christiani, and Qingyi Wei. “Novel genetic variants of SYK and ITGA1 related lymphangiogenesis signaling pathway predict non-small cell lung cancer survival.” Am J Cancer Res 10, no. 8 (2020): 2603–16.
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  - Lu, Guiqing, Bingrong Zhou, Yuanmin He, Hongliang Liu, Sheng Luo, Christopher I. Amos, Jeffrey E. Lee, et al. “Novel genetic variants of PIP5K1C and MVB12B of the endosome-related pathway predict cutaneous melanoma-specific survival.” Am J Cancer Res 10, no. 10 (2020): 3382–94.
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  - Siuda, Joanna, Magdalena Boczarska-Jedynak, Sławomir Budrewicz, Monika Figura, Urszula Fiszer, Agata Gajos, Agnieszka Gorzkowska, et al. “Validation of the Polish version of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS).” Neurol Neurochir Pol 54, no. 5 (2020): 416–25. https://doi.org/10.5603/PJNNS.a2020.0049.
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  - Tang, Dongfang, Hongliang Liu, Yuchen Zhao, Danwen Qian, Sheng Luo, Edward F. Patz, Li Su, et al. “Genetic variants of BIRC3 and NRG1 in the NLRP3 inflammasome pathway are associated with non-small cell lung cancer survival.” Am J Cancer Res 10, no. 8 (2020): 2582–95.
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  - Tang, Dongfang, Yu Chen Zhao, Danwen Qian, Hongliang Liu, Sheng Luo, Edward F. Patz, Patricia G. Moorman, et al. “Novel genetic variants in HDAC2 and PPARGC1A of the CREB-binding protein pathway predict survival of non-small-cell lung cancer.” Mol Carcinog 59, no. 1 (January 2020): 104–15. https://doi.org/10.1002/mc.23132.
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  - Wang, Haijiao, Lingling Zhao, Hongliang Liu, Sheng Luo, Tomi Akinyemiju, Shelley Hwang, and Qingyi Wei. “Variants in SNAI1, AMDHD1 and CUBN in vitamin D pathway genes are associated with breast cancer risk: a large-scale analysis of 14 GWASs in the DRIVE study.” Am J Cancer Res 10, no. 7 (2020): 2160–73.
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  - Wu, Yufeng, Sen Yang, Hongliang Liu, Sheng Luo, Thomas E. Stinchcombe, Carolyn Glass, Li Su, et al. “Novel genetic variants of KIR3DL2 and PVR involved in immunoregulatory interactions are associated with non-small cell lung cancer survival.” Am J Cancer Res 10, no. 6 (2020): 1770–84.
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  - Zhao, Ling-Ling, Hong-Liang Liu, Sheng Luo, Kyle M. Walsh, Wei Li, and Qingyi Wei. “Associations of novel variants in PIK3C3, INSR and MAP3K4 of the ATM pathway genes with pancreatic cancer risk.” Am J Cancer Res 10, no. 7 (2020): 2128–44.
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  - Wang, Ziyi, Elianna A. Bier, Aparna Swaminathan, Kishan Parikh, John Nouls, Mu He, Joseph G. Mammarappallil, Sheng Luo, Bastiaan Driehuys, and Sudarshan Rajagopal. “Diverse cardiopulmonary diseases are associated with distinct xenon magnetic resonance imaging signatures.” Eur Respir J 54, no. 6 (December 2019). https://doi.org/10.1183/13993003.00831-2019.
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  - Dai, Wei, Hongliang Liu, Xinyuan Xu, Jie Ge, Sheng Luo, Dakai Zhu, Christopher I. Amos, et al. “Genetic variants in ELOVL2 and HSD17B12 predict melanoma-specific survival.” Int J Cancer 145, no. 10 (November 15, 2019): 2619–28. https://doi.org/10.1002/ijc.32194.
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  - Li, Ji-Bin, Sheng Luo, Martin C. S. Wong, Cai Li, Li-Fen Feng, Jian-Hong Peng, Jing-Hua Li, and Xi Zhang. “Longitudinal associations between BMI change and the risks of colorectal cancer incidence, cancer-relate and all-cause mortality among 81,388 older adults : BMI change and the risks of colorectal cancer incidence and mortality.” Bmc Cancer 19, no. 1 (November 11, 2019): 1082. https://doi.org/10.1186/s12885-019-6299-4.
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  - Li, Kan, and Sheng Luo. “Dynamic prediction of Alzheimer's disease progression using features of multiple longitudinal outcomes and time-to-event data.” Stat Med 38, no. 24 (October 30, 2019): 4804–18. https://doi.org/10.1002/sim.8334.
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  - Ren, Xuehan, Jeffrey Lin, Sheng Luo, Christopher G. Goetz, Glenn T. Stebbins, and Esther Cubo. “Successful use of the Unified Dyskinesia Rating Scale regardless of PD- or dyskinesia-duration.” Parkinsonism Relat Disord 67 (October 2019): 113–16. https://doi.org/10.1016/j.parkreldis.2019.08.019.
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  - Wang, Jue, and Sheng Luo. “Joint modeling of multiple repeated measures and survival data using multidimensional latent trait linear mixed model.” Stat Methods Med Res 28, no. 10–11 (October 2019): 3392–3403. https://doi.org/10.1177/0962280218802300.
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  - Amrhein, Timothy J., Erol Bozdogan, Sunit Vekaria, Prasad Patel, Reginald Lerebours, Sheng Luo, and Peter G. Kranz. “Cross-sectional CT Assessment of the Extent of Injectate Spread at CT Fluoroscopy-guided Cervical Epidural Interlaminar Steroid Injections.” Radiology 292, no. 3 (September 2019): 723–29. https://doi.org/10.1148/radiol.2019182795.
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  - Ge, Jie, Hongliang Liu, Danwen Qian, Xiaomeng Wang, Patricia G. Moorman, Sheng Luo, Shelley Hwang, and Qingyi Wei. “Genetic variants of genes in the NER pathway associated with risk of breast cancer: A large-scale analysis of 14 published GWAS datasets in the DRIVE study.” Int J Cancer 145, no. 5 (September 1, 2019): 1270–79. https://doi.org/10.1002/ijc.32371.
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  - Mao, Rui, Hong Zhao, Kan Li, Sheng Luo, Megan Turner, Jian-Qiang Cai, and Dan Blazer. “Outcomes of Lymph Node Dissection for Non-metastatic Pancreatic Neuroendocrine Tumors: A Propensity Score-Weighted Analysis of the National Cancer Database.” Ann Surg Oncol 26, no. 9 (September 2019): 2722–29. https://doi.org/10.1245/s10434-019-07506-5.
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  - Chen, Ka, Hongliang Liu, Zhensheng Liu, Sheng Luo, Edward F. Patz, Patricia G. Moorman, Li Su, Sipeng Shen, David C. Christiani, and Qingyi Wei. “Genetic variants in RUNX3, AMD1 and MSRA in the methionine metabolic pathway and survival in nonsmall cell lung cancer patients.” Int J Cancer 145, no. 3 (August 1, 2019): 621–31. https://doi.org/10.1002/ijc.32128.
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  - Xu, Xinyuan, Danwen Qian, Hongliang Liu, Diana Cruz, Sheng Luo, Kyle M. Walsh, James L. Abbruzzese, Xuefeng Zhang, and Qingyi Wei. “Genetic variants in the liver kinase B1-AMP-activated protein kinase pathway genes and pancreatic cancer risk.” Mol Carcinog 58, no. 8 (August 2019): 1338–48. https://doi.org/10.1002/mc.23018.
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  - Yang, Ming, Sheng Luo, and Stacia DeSantis. “Bayesian quantile regression joint models: Inference and dynamic predictions.” Stat Methods Med Res 28, no. 8 (August 2019): 2524–37. https://doi.org/10.1177/0962280218784757.
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  - Li, Kan, Sheng Luo, Sammy Yuan, and Shahrul Mt-Isa. “A Bayesian approach for individual-level drug benefit-risk assessment.” Stat Med 38, no. 16 (July 20, 2019): 3040–52. https://doi.org/10.1002/sim.8166.
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  - Guo, Yi, Yun Feng, Hongliang Liu, Sheng Luo, Jeffrey W. Clarke, Patricia G. Moorman, Li Su, Sipeng Shen, David C. Christiani, and Qingyi Wei. “Potentially functional genetic variants in the TNF/TNFR signaling pathway genes predict survival of patients with non-small cell lung cancer in the PLCO cancer screening trial.” Mol Carcinog 58, no. 7 (July 2019): 1094–1104. https://doi.org/10.1002/mc.23017.
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  - Yang, Wenjun, Hongliang Liu, Bensong Duan, Xinyuan Xu, Dennis Carmody, Sheng Luo, Kyle M. Walsh, et al. “Three novel genetic variants in NRF2 signaling pathway genes are associated with pancreatic cancer risk.” Cancer Sci 110, no. 6 (June 2019): 2022–32. https://doi.org/10.1111/cas.14017.
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  - Qian, Danwen, Hongliang Liu, Xiaomeng Wang, Jie Ge, Sheng Luo, Edward F. Patz, Patricia G. Moorman, et al. “Potentially functional genetic variants in the complement-related immunity gene-set are associated with non-small cell lung cancer survival.” Int J Cancer 144, no. 8 (April 15, 2019): 1867–76. https://doi.org/10.1002/ijc.31896.
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  - Halabi, Susan, Cai Li, and Sheng Luo. “Developing and Validating Risk Assessment Models of Clinical Outcomes in Modern Oncology.” Jco Precis Oncol 3 (2019). https://doi.org/10.1200/PO.19.00068.
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  - Li, Fan, Kan Li, Cai Li, Sheng Luo, and Sheng PREDICT-HD and ENROLL-HD Investigators of the Huntington Study Group. “Predicting the Risk of Huntington's Disease with Multiple Longitudinal Biomarkers.” J Huntingtons Dis 8, no. 3 (2019): 323–32. https://doi.org/10.3233/JHD-190345.
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  - Ren, X., J. Wang, and S. Luo. “Dynamic prediction using joint models of longitudinal and recurrent event data: a Bayesian perspective.” Biostatistics and Epidemiology, January 1, 2019. https://doi.org/10.1080/24709360.2019.1693198.
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  - Luo, Sheng, Xuehan Ren, Weilu Han, Christopher G. Goetz, and Glenn T. Stebbins. “Missing Data in the Unified Dysksinesia Rating Scale (UDysRS).” Mov Disord Clin Pract 5, no. 5 (September 2018): 523–26. https://doi.org/10.1002/mdc3.12642.
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  - Li, Kan, Richard O’Brien, Michael Lutz, Sheng Luo, and Sheng Alzheimer’s Disease Neuroimaging Initiative. “A prognostic model of Alzheimer's disease relying on multiple longitudinal measures and time-to-event data.” Alzheimers Dement 14, no. 5 (May 2018): 644–51. https://doi.org/10.1016/j.jalz.2017.11.004.
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  - Li, Kan, Shuai Sammy Yuan, William Wang, Shuyan Sabrina Wan, Paulette Ceesay, Joseph F. Heyse, Shahrul Mt-Isa, and Sheng Luo. “Periodic benefit-risk assessment using Bayesian stochastic multi-criteria acceptability analysis.” Contemp Clin Trials 67 (April 2018): 100–108. https://doi.org/10.1016/j.cct.2018.02.016.
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  - Zhu, Huirong, Stacia M. DeSantis, and Sheng Luo. “Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective.” Stat Methods Med Res 27, no. 4 (April 2018): 1258–70. https://doi.org/10.1177/0962280216659312.
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  - Vidoni, Michelle L., Kelley Pettee Gabriel, Sheng T. Luo, Eleanor M. Simonsick, and R Sue Day. “Relationship between Homocysteine and Muscle Strength Decline: The Baltimore Longitudinal Study of Aging.” J Gerontol a Biol Sci Med Sci 73, no. 4 (March 14, 2018): 546–51. https://doi.org/10.1093/gerona/glx161.
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  - Lin, Li-An, Sheng Luo, and Barry R. Davis. “Bayesian regression model for recurrent event data with event-varying covariate effects and event effect.” J Appl Stat 45, no. 7 (2018): 1260–76. https://doi.org/10.1080/02664763.2017.1367368.
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  - Masha, Luke, James Stone, Danielle Stone, Jun Zhang, and Luo Sheng. “Pulmonary Catherization Data Correlate Poorly with Renal Function in Heart Failure.” Cardiorenal Med 8, no. 3 (2018): 183–91. https://doi.org/10.1159/000487203.
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  - Li, Liang, Sheng Luo, Bo Hu, and Tom Greene. “Dynamic Prediction of Renal Failure Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease.” Stat Biosci 9, no. 2 (December 2017): 357–78. https://doi.org/10.1007/s12561-016-9183-7.
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  - Lin, Li-An, Sheng Luo, Bingshu E. Chen, and Barry R. Davis. “Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions.” Stat Methods Med Res 26, no. 6 (December 2017): 2869–84. https://doi.org/10.1177/0962280215613378.
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  - Zitser, Jennifer, Chava Peretz, Aya Ber David, Herzl Shabtai, Adi Ezra, Meir Kestenbaum, Marina Brozgol, et al. “Validation of the Hebrew version of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale.” Parkinsonism Relat Disord 45 (December 2017): 7–12. https://doi.org/10.1016/j.parkreldis.2017.09.012.
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  - Leehey, Maureen, Sheng Luo, Saloni Sharma, Anne-Marie A. Wills, Jacquelyn L. Bainbridge, Pei Shieen Wong, David K. Simon, et al. “Association of metabolic syndrome and change in Unified Parkinson's Disease Rating Scale scores.” Neurology 89, no. 17 (October 24, 2017): 1789–94. https://doi.org/10.1212/WNL.0000000000004572.
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  - Li, Kan, and Sheng Luo. “Functional joint model for longitudinal and time-to-event data: an application to Alzheimer's disease.” Stat Med 36, no. 22 (September 30, 2017): 3560–72. https://doi.org/10.1002/sim.7381.
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  - Wang, Jue, and Sheng Luo. “Multidimensional latent trait linear mixed model: an application in clinical studies with multivariate longitudinal outcomes.” Stat Med 36, no. 20 (September 10, 2017): 3244–56. https://doi.org/10.1002/sim.7347.
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  - Luo, Sheng, Yuanyuan Liu, Jeanne A. Teresi, Glenn T. Stebbins, and Christopher G. Goetz. “Differential item functioning in the Unified Dyskinesia Rating Scale (UDysRS).” Mov Disord 32, no. 8 (August 2017): 1244–49. https://doi.org/10.1002/mds.27058.
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  - Martino, Davide, Tamara M. Pringsheim, Andrea E. Cavanna, Carlo Colosimo, Andreas Hartmann, James F. Leckman, Sheng Luo, et al. “Systematic review of severity scales and screening instruments for tics: Critique and recommendations.” Mov Disord 32, no. 3 (March 2017): 467–73. https://doi.org/10.1002/mds.26891.
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  - Chen, G., and S. Luo. “Bayesian hierarchical joint modeling using skew-normal/independent distributions.” Communications in Statistics Simulation and Computation OnlineFirst (2017).
    Open Access Copy
  - Gibbons, C. H., D. K. Simon, M. Huang, B. Tilley, M. J. Aminoff, J. L. Bainbridge, M. Brodsky, et al. “Autonomic and electrocardiographic findings in Parkinson’s disease.” Autonomic Neuroscience 205 (2017): 93–98.
    Open Access Copy
  - Li, K., E. Furr-Stimming, J. S. Paulsen, and S. Luo. “Dynamic prediction of motor diagnosis in Huntington's disease using a joint modeling approach.” Journal of Huntington’S Disease 6 (2017): 127–37.
    Open Access Copy
  - Li, K., W. Chan, R. S. Doody, J. Quinn, and S. Luo. “Prediction of conversion to Alzheimer's disease with longitudinal measures and time-to-event data.” Journal of Alzheimer’S Disease 58 (2017): 361–71.
    Open Access Copy
  - Li, K., and S. Luo. “Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: an application to Alzheimer’s disease.” Statistical Methods in Medical Research OnlineFirst (2017).
    Open Access Copy
  - Rafferty, Miriam R., Peter N. Schmidt, Sheng T. Luo, Kan Li, Connie Marras, Thomas L. Davis, Mark Guttman, Fernando Cubillos, Tanya Simuni, and Tanya all NPF-QII Investigators. “Regular Exercise, Quality of Life, and Mobility in Parkinson's Disease: A Longitudinal Analysis of National Parkinson Foundation Quality Improvement Initiative Data.” J Parkinsons Dis 7, no. 1 (2017): 193–202. https://doi.org/10.3233/JPD-160912.
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  - Vidoni, M., K. P. Gabriel, S. Luo, E. M. Simonsick, and R. S. Day. “Vitamin B12 and homocysteine associations with gait speed in older adults.” Journal of Nutrition, Health, and Aging OnlineFirst (2017).
    Open Access Copy
  - Wang, J., S. Luo, and L. Li. “Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson’s disease.” Annals of Applied Statistics OnlineFirst (2017).
    Open Access Copy
  - Yu, Rwei-Ling, Ruey-Meei Wu, Anne Y. Y. Chan, Vincent Mok, Yih-Ru Wu, Barbara C. Tilley, Sheng Luo, et al. “Cross-Cultural Differences of the Non-Motor Symptoms Studied by the Traditional Chinese Version of the International Parkinson and Movement Disorder Society- Unified Parkinson's Disease Rating Scale.” Mov Disord Clin Pract 4, no. 1 (January 2017): 68–77. https://doi.org/10.1002/mdc3.12349.
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  - Goetz, Christopher G., Yuanyuan Liu, Glenn T. Stebbins, Lu Wang, Barbara C. Tilley, Jeanne A. Teresi, Douglas Merkitch, and Sheng Luo. “Gender-, age-, and race/ethnicity-based differential item functioning analysis of the movement disorder society-sponsored revision of the Unified Parkinson's disease rating scale.” Mov Disord 31, no. 12 (December 2016): 1865–73. https://doi.org/10.1002/mds.26847.
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  - Benoit, Julia S., Wenyaw Chan, Sheng Luo, Hung-Wen Yeh, and Rachelle Doody. “A hidden Markov model approach to analyze longitudinal ternary outcomes when some observed states are possibly misclassified.” Stat Med 35, no. 9 (April 30, 2016): 1549–57. https://doi.org/10.1002/sim.6861.
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  - Brown, A. L., W. S. C. Poston, S. A. Jahnke, C. Keith Haddock, S. Luo, G. L. Delclos, and D. R. Sue. “Weight loss advice and prospective weight change among overweight firefighters.” International Journal of Occupational and Environmental Health 22 (2016): 233–39.
    Open Access Copy
  - Chen, G., and S. Luo. “Robust Bayesian hierarchical model using normal/independent distributions.” Biometrical Journal 58 (2016): 831–51.
    Open Access Copy
  - Csencsits-Smith, Keri, Jessika Suescun, Kan Li, Sheng Luo, Diane L. Bick, and Mya Schiess. “Serum Lymphocyte-Associated Cytokine Concentrations Change More Rapidly over Time in Multiple System Atrophy Compared to Parkinson Disease.” Neuroimmunomodulation 23, no. 5–6 (2016): 301–8. https://doi.org/10.1159/000460297.
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  - He, B., and S. Luo. “Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson's disease.” Statistical Methods in Medical Research 25 (2016): 1346–58.
    Open Access Copy
  - Luo, S., A. B. Lawson, B. He, J. J. Elm, and B. C. Tilley. “Bayesian multiple imputation for missing multivariate longitudinal data from a Parkinson’s disease clinical trial.” Statistical Methods in Medical Research 25 (2016): 821–37.
    Open Access Copy
  - Luo, S., W. Chan, M. A. Detry, P. J. M, and R. S. Doody. “Binomial regression with a misclassified covariate and outcome.” Statistical Methods in Medical Research 25 (2016): 101–17.
    Open Access Copy
  - Su, X., and S. Luo. “Analysis of censored longitudinal data with skewness and a terminal event.” Communications in Statistics Simulation and Computation OnlineFirst (2016).
    Open Access Copy
  - Wang, Jue, and Sheng Luo. “Augmented Beta rectangular regression models: A Bayesian perspective.” Biom J 58, no. 1 (January 2016): 206–21. https://doi.org/10.1002/bimj.201400232.
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  - Lazaridis, Christos, Ming Yang, Stacia M. DeSantis, Sheng T. Luo, and Claudia S. Robertson. “Predictors of intensive care unit length of stay and intracranial pressure in severe traumatic brain injury.” J Crit Care 30, no. 6 (December 2015): 1258–62. https://doi.org/10.1016/j.jcrc.2015.08.003.
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  - NINDS Exploratory Trials in Parkinson Disease (NET-PD) FS-ZONE Investigators, Ehsan. “Pioglitazone in early Parkinson's disease: a phase 2, multicentre, double-blind, randomised trial.” Lancet Neurol 14, no. 8 (August 2015): 795–803. https://doi.org/10.1016/S1474-4422(15)00144-1.
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  - Writing Group for the NINDS Exploratory Trials in Parkinson Disease (NET-PD) Investigators, Anne-Marie, Karl Kieburtz, Barbara C. Tilley, Jordan J. Elm, Debra Babcock, Robert Hauser, G Webster Ross, et al. “Effect of creatine monohydrate on clinical progression in patients with Parkinson disease: a randomized clinical trial.” Jama 313, no. 6 (February 10, 2015): 584–93. https://doi.org/10.1001/jama.2015.120.
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  - Bega, D., S. Luo, H. Fernandez, K. Chou, M. Aminoff, S. Parashos, H. Walker, et al. “Impact of depression on progression of impairment and disability in early Parkinson’s disease.” Movement Disorders Clinical Practice 2 (2015): 371–78.
    Open Access Copy
  - Brown, A. L., W. S. C. Poston, S. A. Jahnke, Ck Haddock, S. Luo, G. L. Delclos, and R. S. Day. “Weight advice associated with male firefighter weight perception and behavior.” American Journal of Preventive Medicine 49 (2015): 589–93.
    Open Access Copy
  - Chen, Y., H. Chu, S. Luo, L. Nie, and S. Chen. “Bayesian analysis on meta-analysis of case-control studies accounting for within-study correlation.” Statistical Methods in Medical Research 24 (2015): 836–55.
    Open Access Copy
  - Goetz, C. G., S. Luo, L. Wang, B. C. Tilley, N. R. LaPelle, and G. T. Stebbins. “Handling missing values in the MDS-UPDRS.” Movement Disorders 30 (2015): 1632–38.
    Open Access Copy
  - Luo, S., X. Su, M. Yi, and K. K. Hunt. “Simultaneous inference of a misclassified outcome and competing risks failure time data.” Journal of Applied Statistics 42 (2015): 1080–90.
    Open Access Copy
  - Wang, J., and S. Luo. “Bayesian multivariate augmented Beta rectangular regression models for patient-reported outcomes and survival data.” Statistical Methods in Medical Research OnlineFirst (2015).
    Open Access Copy
  - Zhu, H., S. Luo, and S. DeSantis. “Zero-inflated Poisson and negative binomial models for longitudinal measures with heterogeneous random effects.” Statistical Methods in Medical Research OnlineFirst (2015).
    Open Access Copy
  - Luo, Sheng, and Jue Wang. “Bayesian hierarchical model for multiple repeated measures and survival data: an application to Parkinson's disease.” Stat Med 33, no. 24 (October 30, 2014): 4279–91. https://doi.org/10.1002/sim.6228.
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  - Chen, Yong, Sheng Luo, Haitao Chu, Xiao Su, and Lei Nie. “An Empirical Bayes Method for Multivariate Meta-analysis with an Application in Clinical Trials.” Commun Stat Theory Methods 43, no. 16 (July 29, 2014): 3536–51. https://doi.org/10.1080/03610926.2012.700379.
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  - Luo, Sheng, Xiao Su, Stacia M. DeSantis, Xuelin Huang, Min Yi, and Kelly K. Hunt. “Joint model for a diagnostic test without a gold standard in the presence of a dependent terminal event.” Stat Med 33, no. 15 (July 10, 2014): 2554–66. https://doi.org/10.1002/sim.6101.
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  - Parashos, Sotirios A., Sheng Luo, Kevin M. Biglan, Ivan Bodis-Wollner, Bo He, Grace S. Liang, G Webster Ross, Barbara C. Tilley, Lisa M. Shulman, and Lisa M. NET-PD Investigators. “Measuring disease progression in early Parkinson disease: the National Institutes of Health Exploratory Trials in Parkinson Disease (NET-PD) experience.” Jama Neurol 71, no. 6 (June 2014): 710–16. https://doi.org/10.1001/jamaneurol.2014.391.
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  - Luo, Sheng. “A Bayesian approach to joint analysis of multivariate longitudinal data and parametric accelerated failure time.” Stat Med 33, no. 4 (February 20, 2014): 580–94. https://doi.org/10.1002/sim.5956.
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  - Cubo, E., C. G. Goetz, G. T. Stebbins, N. R. LaPelle, B. C. Tilley, L. Wang, and S. Luo. “Independent Spanish validation of the Unified Dyskinesia rating scale.” Movement Disorders Clinical Practice 1 (2014): 213–18.
    Open Access Copy
  - Goetz, C. G., G. T. Stebbins, L. Wang, N. R. LaPelle, S. Luo, and B. C. Tilley. “MDS-sponsored scale translation program: process, format, and clinimetric testing plan for the MDS-UPDRS and UDysRS.” Movement Disorders Clinical Practice 1 (2014): 97–101.
    Open Access Copy
  - Kashihara, K., T. Tomoyoshi, Y. Mizuno, S. Kikuchi, S. Kuno, K. Hasegawa, N. Hattori, et al. “Official Japanese version of the Movement Disorder Society-unified Parkinson's disease rating scale: validation against the original English version.” Movement Disorders Clinical Practice 1 (2014): 200–212.
    Open Access Copy
  - Luo, Sheng, Yong Chen, Xiao Su, and Haitao Chu. “mmeta: An R Package for Multivariate Meta-Analysis.” J Stat Softw 56, no. 11 (January 1, 2014): 11.
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  - Luo, Sheng. “Joint analysis of stochastic processes with application to smoking patterns and insomnia.” Stat Med 32, no. 29 (December 20, 2013): 5133–44. https://doi.org/10.1002/sim.5906.
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  - Byun, Jinyoung, Dejian Lai, Sheng Luo, Jan Risser, Betty Tung, and Robert J. Hardy. “A hybrid method in combining treatment effects from matched and unmatched studies.” Stat Med 32, no. 28 (December 10, 2013): 4924–37. https://doi.org/10.1002/sim.5887.
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  - Luo, Sheng, Junsheng Ma, and Karl D. Kieburtz. “Robust Bayesian inference for multivariate longitudinal data by using normal/independent distributions.” Stat Med 32, no. 22 (September 30, 2013): 3812–28. https://doi.org/10.1002/sim.5778.
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  - Park, Minjeong, Sheng Luo, Jaymin Kwon, Thomas H. Stock, George Delclos, Ho Kim, and Hong Yun-Chul. “Effects of Air Pollution on Asthma Hospitalization Rates in Different Age Groups in Metropolitan Cities of Korea.” Air Qual Atmos Health 6, no. 3 (September 1, 2013). https://doi.org/10.1007/s11869-013-0195-x.
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  - Simuni, Tanya, Sheng T. Luo, Kelvin L. Chou, Hubert Fernandez, Bo He, and Sotirios Parashos. “Rankin scale as a potential measure of global disability in early Parkinson's disease.” J Clin Neurosci 20, no. 9 (September 2013): 1200–1203. https://doi.org/10.1016/j.jocn.2012.10.030.
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  - Luo, Sheng, Min Yi, Xuelin Huang, and Kelly K. Hunt. “A Bayesian model for misclassified binary outcomes and correlated survival data with applications to breast cancer.” Stat Med 32, no. 13 (June 15, 2013): 2320–34. https://doi.org/10.1002/sim.5629.
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  - Chen, Yong, Sheng Luo, Haitao Chu, and Peng Wei. “Bayesian inference on risk differences: an application to multivariate meta-analysis of adverse events in clinical trials.” Stat Biopharm Res 5, no. 2 (May 1, 2013): 142–55. https://doi.org/10.1080/19466315.2013.791483.
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  - Luo, Sheng, J. Ma, and K. D. Kieburtz. “Robust Bayesian inference for multivariate longitudinal data using normal/independent distributions,” 2013.
    Open Access Copy
  - Elm, Jordan J., and Jordan J. NINDS NET-PD Investigators. “Design innovations and baseline findings in a long-term Parkinson's trial: the National Institute of Neurological Disorders and Stroke Exploratory Trials in Parkinson's Disease Long-Term Study-1.” Mov Disord 27, no. 12 (October 2012): 1513–21. https://doi.org/10.1002/mds.25175.
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  - Yi, Min, Funda Meric-Bernstam, Henry M. Kuerer, Elizabeth A. Mittendorf, Isabelle Bedrosian, Anthony Lucci, Rosa F. Hwang, Jaime R. Crow, Sheng Luo, and Kelly K. Hunt. “Evaluation of a breast cancer nomogram for predicting risk of ipsilateral breast tumor recurrences in patients with ductal carcinoma in situ after local excision.” J Clin Oncol 30, no. 6 (February 20, 2012): 600–607. https://doi.org/10.1200/JCO.2011.36.4976.
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  - Yi, Min, Thomas A. Buchholz, Funda Meric-Bernstam, Isabelle Bedrosian, Rosa F. Hwang, Merrick I. Ross, Henry M. Kuerer, et al. “Classification of ipsilateral breast tumor recurrences after breast conservation therapy can predict patient prognosis and facilitate treatment planning.” Ann Surg 253, no. 3 (March 2011): 572–79. https://doi.org/10.1097/SLA.0b013e318208fc2a.
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  - Crainiceanu, C. M., B. S. Caffo, S. Luo, and V. Zipunnikov. “Population value decomposition, a framework for the analysis of image populations.” Journal of the American Statistical Association 106 (2011): 775–90.
    Open Access Copy
  - Crainiceanu, C. M., B. S. Caffo, Sheng Luo, and V. Zipunnikov. “Population value decomposition, a framework for the analysis of image populations,” 2011.
    Open Access Copy
  - Yi, M., E. A. Mittendorf, J. N. Cormier, T. A. Buchholz, K. Bilimoria, A. A. Sahin, G. N. Hortobagyi, et al. “Novel staging system for predicting disease-specific survival in patients with breast cancer treated with surgery as the first intervention: time to modify the current American Joint Committee on Cancer staging system.” Journal of Clinical Oncology 29 (2011): 4654–61.
    Open Access Copy
  - Luo, Sheng, Bhramar Mukherjee, Jinbo Chen, and Nilanjan Chatterjee. “Shrinkage estimation for robust and efficient screening of single-SNP association from case-control genome-wide association studies.” Genet Epidemiol 33, no. 8 (December 2009): 740–50. https://doi.org/10.1002/gepi.20428.
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  - Chatterjee, Nilanjan, Yi-Hau Chen, Sheng Luo, and Raymond J. Carroll. “Analysis of Case-Control Association Studies: SNPs, Imputation and Haplotypes.” Stat Sci 24, no. 4 (November 1, 2009): 489–502. https://doi.org/10.1214/09-sts297.
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  - Luo, Sheng, Ciprian M. Crainiceanu, Thomas A. Louis, and Nilanjan Chatterjee. “Bayesian inference for smoking cessation with a latent cure state.” Biometrics 65, no. 3 (September 2009): 970–78. https://doi.org/10.1111/j.1541-0420.2008.01167.x.
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  - Anderson, W. F., S. Luo, N. Chatterjee, P. S. Rosenberg, R. K. Matsuno, M. T. Goodman, B. Y. Hernandez, et al. “Human epidermal growth factor receptor-2 and estrogen receptor expression, a demonstration project using the residual tissue repository of the Surveillance, Epidemiology, and End Results (SEER) program.” Breast Cancer Res Treat 113, no. 1 (January 2009): 189–96. https://doi.org/10.1007/s10549-008-9918-3.
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  - Luo, Sheng, Ciprian M. Crainiceanu, Thomas A. Louis, and Nilanjan Chatterjee. “Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State.” J Am Stat Assoc 103, no. 483 (September 1, 2008): 1002–13. https://doi.org/10.1198/016214507000001030.
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  - Kornitzer, M. “Why those differences between the U..K. and the Belgian Heart Disease Prevention Project results?” Prev Med 13, no. 1 (January 1984): 136–39. https://doi.org/10.1016/0091-7435(84)90046-x.
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  - Luo, Sheng, Haotian Zou, Christopher G. Goetz, Dongrak Choi, David Oakes, Tanya Simuni, and Glenn T. Stebbins. “Novel approach to MDS‐UPDRS monitoring in clinical trials: Longitudinal Item Response Theory Models.” Movement Disorders Clinical Practice, n.d. https://doi.org/10.1002/mdc3.13311.
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- Conference Papers
  - Hendrickson, Whitney K., Gongbo Xie, David D. Rahn, Megan Bradley, Vivian Sung, Jim A. Hokanson, Ariana L. Smith, et al. “MODELS FOR PREDICTING EFFICACY OF TREATMENT AND COMPLICATIONS IN WOMEN AFTER INTRADETRUSOR ONABOTULINUMTOXINA FOR NON-NEUROGENIC URGENCY INCONTINENCE.” In Neurourology and Urodynamics, 40:S72–74, 2021.
    Link to Item
  - Luo, S., N. LaPelle, P. Martin, C. Goetz, and G. Stebbins. “MDS Translation Program for MDS-UPDRS, UDysRS, and MDS-NMS.” In Movement Disorders, 35:S579–S579, 2020.
    Link to Item
  - Reiff, Emily S., Xuehan Ren, Dipali Pandya, Sheng Luo, Brenna Hughes, and Eric Jelovsek. “Development and Validation of a Model to Predict Preterm Delivery Within Seven Days.” In Reproductive Sciences, 27:306A-307A. SPRINGER HEIDELBERG, 2020.
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  - Mao, Rui, Sheng Luo, Megan Turner, Jian-Qiang Cai, Hong Zhao, and Dan G. Blazer. “LYMPH NODE DISSECTION DOES NOT IMPROVE SURVIVAL IN PATIENTS WITH PANCREATIC NEUROENDOCRINE TUMOR: A STUDY OF THE NATIONAL CANCER DATABASE.” In Gastroenterology, 156:S1465–S1465. W B SAUNDERS CO-ELSEVIER INC, 2019.
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  - Bier, E., Z. Wang, A. Swaminathan, J. Nouls, M. He, J. Mammarappallil, S. Luo, B. Driehuys, and S. Rajagopal. “129Xenon MR Imaging and Spectroscopic Signatures to Differentiate Pulmonary Arterial Hypertension from Other Heart and Lung Disease.” In American Journal of Respiratory and Critical Care Medicine, Vol. 199. AMER THORACIC SOC, 2019.
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  - Mao, R., K. Li, S. Luo, M. Turner, J. Q. Cai, D. Blazer, and H. Zhao. “Effectiveness of Adjuvant Chemotherapy for Patients with Poorly Differentiated Colorectal Neuroendocrine Carcinomas: A Study of the National Cancer Database.” In Neuroendocrinology, 108:152–152. KARGER, 2019.
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  - Mao, R., S. Luo, M. Turner, J. Q. Cai, H. Zhao, and D. Blazer. “Lymph Node Dissection Does Not Improve Survival in Patients with Pancreatic Neuroendocrine Tumors: A Study of the National Cancer Database.” In Neuroendocrinology, 108:246–246. KARGER, 2019.
    Link to Item
  - Goetz, Christopher, Sheng Luo, and Glenn Stebbins. “Item Response Theory Analysis of the Unified Dyskinesia Rating Scale Items.” In Neurology, Vol. 90. LIPPINCOTT WILLIAMS & WILKINS, 2018.
    Link to Item
  - Yi, M., E. A. Mittendorf, T. A. Buchholz, A. A. Sahin, H. M. Kuerer, S. Luo, K. Y. Bilimoria, et al. “A novel staging system for disease-specific survival in patients with breast cancer treated with surgery as the first intervention.” In Journal of Clinical Oncology, 29:92–92. American Society of Clinical Oncology (ASCO), 2011. https://doi.org/10.1200/jco.2011.29.27_suppl.92.
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Teaching & Mentoring
Recent Courses
- BIOSTAT 714: Categorical Data Analysis 2019
Advising & Mentoring
- Primary PhD dissertation advisor
  1. Min Yi, doctoral in Biostatistics, graduated in Spring 2011, dissertation title: "Bayesian and survival model for tumor relapse status and disease-specific survival, with applications to breast cancer". Current position: Senior Biostatistician at MD Anderson Cancer Center.
  2. Geng Chen, doctoral in Biostatistics, graduated in Fall 2014, dissertation title: "Bayesian inference for multivariate longitudinal data analysis using robust distributions". Current position: Senior biostatistician at GlaxoSmithKline.
  3. Huirong Zhu, doctoral candidate in Biostatistics, dissertation defense occurred on November 5, 2015, dissertation title: "Two-part mixture models for zero-inflated heterogeneous measurements and time to event data", co-advise with Stacia DeSantis, PhD. Current position: Biostatistician at Texas Children Hospital.
  4. Li-An Lin, doctoral candidate in Biostatistics, dissertation defense occurred on November 19, 2015, dissertation title: "Bayesian analysis of multi-type recurrent events with dependent termination". Current position: Senior biostatistician at Merck.
  5. Jue Wang, doctoral candidate in Biostatistics, dissertation defense occurred on May 19, 2016, dissertation title: "Dynamic predictions from joint models for multivariate longitudinal measurements and event time data". Current position: Senior biostatistician at Genentech.
  6. Ming Yang, doctoral candidate in Biostatistics, dissertation defense occurred on November 29, 2016, dissertation title: "Bayesian quantile regression joint models: inference and dynamic predictions", co-advise with Stacia DeSantis, PhD. Current position: Senior biostatistician at Genentech.
  7. Kan Li, doctoral candidate in Biostatistics, dissertation defense occurred on Feb 26, 2018, dissertation title: "Functional joint models for longitudinal and time-to-event data", Current position: Senior biostatistician at Merck.
  8. Jun Zhang, doctoral candidate in Biostatistics, dissertation defense occurred on November 6, 2018, dissertation title: "Bayesian semi-parametric joint modeling for Parkinson's disease progression, competing failure times and missing data", Current position: Senior biostatistician at Blue Cross Blue Shield.
  9. Xuehan Ren, doctoral candidate in Biostatistics, proposal defense occurred on April 27, 2017, dissertation title: "Dynamic prediction of recurrent cardiovascular events".
  PhD dissertation committee
  1. Lin Huo, doctoral in Biostatistics, graduated in Spring 2011, dissertation title: "Bayesian adaptive design for early phase drug-combination clinical trials".
  2. Yunfei Wang, doctoral in Biostatistics, graduated in Spring 2012, dissertation title: "A simulation study using the hybrid statistics and the meta-analysis t-test for data with matched and unmatched subjects in the interim analysis of clinical trials".
  3. Jin Young Byun, doctoral in Biostatistics, graduated in Spring 2012, dissertation title: "A hybrid method in combining treatment effects from matched and unmatched studies".
  4. Rui Xia, doctoral in Biostatistics, graduated in year 2014, dissertation title: "A likelihood-based statistical method to detect DNA aberrations in SNP array data of tumor samples with very high normal cell contamination using haplotype structure derived from population genotypes".
  5. Austin Brown, doctoral in Epidemiology, graduated in Spring 2014, dissertation title: "Healthcase professional weight loss advice, diet, physical activity and obesity in the fire service".
  6. Julia Benoit, doctoral in Biostatistics, graduated in Spring 2014, dissertation title: "A hidden Markov model approach to analyze longitudinal ternary outcome subject to possible misclassification".
  7. Michele Vidoni, doctoral student in Epidemiology, graduated in Spring 2016, dissertation title: "Vitamin B12 and homocysteine associations with physical function measures in older adults, data from the Baltimore longitudinal study of aging".
  8. Yi-Ju Chiang, doctoral student in Biostatistics, dissertation proposal defense occured on August 18, 2016, dissertation title: "Bivariate longitudinal logistic models with misclassified covariates and outcomes".
  Primary MS thesis advisor
  1. Eunji Jo, master student in Biostatistics, graduated in Fall 2009, thesis title: "Comparison of Bayesian and frequentist approaches in clinical outcomes between hospitals".
  2. Minjeong Park, master student in Biostatistics, graduated in Spring 2010, thesis title: "Effects of air pollution on asthma hospitalization rates in different age groups in metropolitan cities of Korea".
  3. Xiao Su, master in Biostatistics, graduated in May 2012, thesis title: "Bayesian estimation of multilevel item response model with missing data".
  MS students thesis committee
  1. Farzana Noor Bindu, Master Student in Biostatistics, graduated in Spring 2012, thesis title: "Performance of classifying diabetes and diagnostic threshold for diabetes among the Mexican American border community".
  2. Jin Li, Master Student in Biostatistics, graduated in Fall 2011, thesis title: "Nonlinear dimension reduction in pathway-based genome-wide association analysis".
  3. Huandong Sun, Master Student in Biostatistics, graduated in Spring 2012, thesis title: "A computerized statistical framework for coalescent analysis".
Teaching Activities
- Course taught at Department of Biostatistics, University of Texas School of Public Health
  1. Statistical Computing, PH 1998, Spring 2009, lead instructor, 100% responsibility.
  2. Bayesian Data Analysis, PH 1998, Fall 2009, lead instructor, 100% responsibility.
  3. Statistical Computing, PH 1998, Fall 2010, lead instructor, 100% responsibility.
  4. Bayesian Data Analysis, PH 1998, Spring 2011, lead instructor, 100% responsibility.
  5. Statistical Computing, PH 1998, Fall 2011, lead instructor, 100% responsibility.
  6. Statistical Computing, PH 1930, Fall 2012, lead instructor, 100% responsibility.
  7. Bayesian Data Analysis, PH 1965, Spring 2013, lead instructor, 100% responsibility.
  8. Statistical Computing, PH 1930, Fall 2013, lead instructor, 100% responsibility.
  9. Statistical Computing, PH 1930, Fall 2014, lead instructor, 100% responsibility.
  10. Statistical Methods in Correlated Outcomes, PH 1918, Spring 2016, lead instructor, 100% responsibility.
  11. Statistical Computing, PH 1930, Fall 2016, lead instructor, 100% responsibility.
  12. Categorical Data Analysis, BIOSTAT 714, lead instructor, 100% responsibility.
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