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: 06/01/2023
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