Yun Li, PhD

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Associate Professor of Biostatistics in Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
Department: Biostatistics and Epidemiology

Contact information
Department of Biostatistics, Epidemiology and Informatics
Center for Clinical Epidemiology and Biostatistics
University of Pennsylvania, Perelman School of Medicine
210 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021
Office: 215-746-6658
Fax: 215-573-4865
BS (Biology)
Beijing Normal University, 1997.
MS (Biostatistics)
University of North Carolina at Chapel Hill, 2001.
PhD (Biostatistics)
University of Michigan, 2008.
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Selected Publications

Li Y, Lee Y, Port F and Robinson BM: The impact of unmeasured within- and between-cluster confounding on the bias of effect estimatorsof a continuous exposure. Statistical Methods in Medical Research 29(8): 2119-2139, August 2020 Notes: doi: 10.1177/0962280219883323.

Lehmann D, Li Y, Saran R, Li Y: Strengthening instrumental variables through weighting. Statistics in Biosciences 9(2): 320-338, Dec 2017 Notes: doi:10.1007/s12561-016-9149-9. My doctoral student's dissertation.

Li Y, Lee Y, Wolfe RA, Morgenstern H, Zhang J, Port F and Robinson BM: On a preference-based instrumental variable approach in reducing unmeasured confounding-by-indication. Statistics in Medicine 34(7): 1150-68, Mar 2015.

Li Y, Schaubel DE and He K: Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment. Statistics in Biosciences 6(1): 105-126, May 2014.

Elliott MR, Conlon A, Li Y: Discussion of "Surrogate measures and consistent surrogates" Biometrics 69(3): 565-569, Sep 2013.

Li Y, Taylor JMG, Elliott MR and Sargent D: Causal assessment of surrogacy in a meta analysis of colorectal cancer trials. Biostatistics 12(3): 478-492, Jul 2011.

Li Y, Taylor JMG and Little RJA: A shrinkage approach for estimating a treatment effect using intermediate biomarker data in clinical trials Biometrics 67(4): 1434-1441, Dec. 2011.

Li Y and Taylor JMG: Predicting treatment effects using biomarker data in a meta-analysis of clinical trials. Statistics in Medicine 29(18): 1875-1889, July 2010.

Elliott MR, Raghunathan N, Li Y: Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes. Biostatistics 11(2): 353-372, Apr 2010.

Li Y, Taylor JMG, Elliott MR: A Bayesian approach to surrogacy assessment using principal stratification in clinical trials. Biometrics 66(2): 523-531, Jun 2010.

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Last updated: 07/11/2022
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