Yimei Li, Ph.D.

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Assistant Professor of Biostatistics in Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
Department: Biostatistics and Epidemiology
Graduate Group Affiliations

Contact information
University of Pennsylvania
Department of Biostatistics, Epidemiology, and Informatics
423 Guardian Drive, 626 Blockley
Philadelphia, PA 19104
B.S. (Applied Mathematics)
Peking University, China, 2006.
M.S. (Biostatistics)
University of Pennsylvania, Philadelphia, PA, 2008.
Ph.D. (Biostatistics)
University of Pennsylvania, Philadelphia, PA, 2010.
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Description of Research Expertise

Dr. Li’s methodology research interests include survival analysis, longitudinal data analysis, Bayesian methods and clinical trial design. Her current research involves statistical designs and analysis for early phase cancer clinical trials and cancer trials with multiple survival endpoints. Her collaborative research focuses on pediatric oncology, including translational and clinical trials, cancer epidemiology, and behavioral and psychosocial intervention studies. She has extensive experience in design, conduct and analysis of various cancer studies, and have published 115 articles in the literatures of statistical methodology, cancer research, and other areas of medicine. She is also on the editorial board of JNCI (Journal of National Cancer Institute).

Selected Publications

Li Y, Wileyto EP, Heitjan DF: Modeling smoking cessation data with alternating states and a cure fraction using frailty models. Statistics in Medicine 29(6): 627-638, Mar 2010 Notes: doi: 10.1002/sim.3825.

Li Y, Wileyto EP, Heitjan DF: Prediction of individual long-term outcomes in smoking cessation trials using frailty models. Biometrics 67(4): 1321-1329, Dec 2011 Notes: doi: 10.1111/j.1541-0420.2011.01578.x. Epub 2011 Mar 14.

Li Y, Wileyto EP, Heitjan DF: Statistical analysis of daily smoking status in smoking cessation clinical trials. Addiction 106(11): 2039-2046, Nov 2011 Notes: doi: 10.1111/j.1360-0443.2011.03519.x. Epub 2011 Aug 18.

Li Y, Mick R, Heitjan DF: A Bayesian approach for unplanned sample size in phase II cancer clinical trials. Clinical Trials 9(3): 293-302, Jun 2012 Notes: doi: 10.1177/1740774512443429. Epub 2012 Apr 20.

Wileyto EP, Li Y, Chen J, Heitjan DF: Assessing the fit of parametric cure models. Biostatistics 14(2): 340-350, Apr 2013 Notes: doi: 10.1093/biostatistics/kxs043. Epub 2012 Nov 28.

Li Y, Heitjan DF: A note on the complementary mixture Pareto II distribution. Communications in Statistics - Theory and Methods 42(2): 201-213, 2013 Notes: doi: 10.1080/03610926.2011.581787.

Li Y, Mick R, Heitjan DF: Suspension of accrual in phase II cancer clinical trials. Clinical Trials 12(2): 128-138, Apr 2015 Notes: DOI: 10.1177/1740774514562029 Epub 2015 Jan 7.

Li Y, Zhang Q: A Weibull multi-state model for the dependence of progression-free survival and overall survival. Statistics in Medicine 34(17): 2497-2513, Jul 2015 Notes: DOI: 10.1002/sim.6501 Epub 2015 Apr 10.

Li Y, Hall M, Fisher BT, Huang YV, Seif AE, Bagatell R, Getz K, Alonzo TA, Gerbing RB, Sung L, Adamson PC, Gamis A, Aplenc R : Merging Children's Oncology Group Data with an External Administrative Database Using Indirect Patient Identifiers: A Report from the Children's Oncology Group. PLoS One 10(11): e0143480, Nov 2015 Notes: doi: 10.1371/journal.pone.0143480.

Griffith SD, Shiffman S, Li Y, Heitjan DF : Model-based imputation of latent cigarette counts using data from a calibration study. International Journal of Methods in Psychiatric Research 25(2): 112-22, Jun 2016 Notes: doi: 10.1002/mpr.1468 [Epub ahead of print]

Vujkovic M, Aplenc R, Alonzon TA, Gamis AS, Li Y. : Comparing analytic methods for longitudinal GWAS and a case-study evaluating chemotherapy course length in pediatric AML. A report from the Children’s Oncology Group. Frontiers in Genetics 7: 139, Jul 2016 Notes: doi: 10.3389/fgene.2016.00139.

Knafl GJ , Barakat LP, Hanlon AL, Hardie T, Knafl KA, Li Y, Deatrick J.: Adaptive Modeling: An Approach for Incorporating Nonlinearity in Regression Analyses. Research in Nursing and Health 40(3): 273-282, Jun 2017 Notes: doi: 10.1002/nur.21786.

Ying GS, Zhang Q, Lan Y, Li Y, Heitjan D : Cure Modeling in Real-Time Prediction: How Much Does It Help? Contemporary Clinical Trials 59: 30-37, May 2017 Notes: doi: 10.1016/j.cct.2017.05.012.

Li Y, Wang M, Cheung K.: Treatment and dose prioritization in early phase platform trials of targeted cancer therapies. Journal of Royal Statistical Society: Series C (Applied Statistics) 2019, in press Notes: DOI: 10.1111/rssc.12324.

Li Y, Newton J, Getz KD, Huang YS, Seif AE, Fisher BT, Aplenc R, Winestone LE.: Comparable On-Therapy Mortality and Supportive Care Requirements in Black and White Patients Following Initial Induction for Pediatric Acute Myeloid Leukemia. Pediatric Blood & Cancer 66(4): e27583. April 2019.

Zhu YQ, Hwang WT, Li Y: Evaluating the effects of design parameters on the performances of phase I trial designs. Contemporary Clinical Trials Communications 2019, in press.

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Last updated: 05/15/2019
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