Publications
Filters: First Letter Of Keyword is D and Author is Zhou, Haibo [Clear All Filters]
Translational studies of phenotypic probes for the mononuclear phagocyte system and liposomal pharmacology." J Pharmacol Exp Ther 347, no. 3 (2013): 599-606.
"Translational studies of phenotypic probes for the mononuclear phagocyte system and liposomal pharmacology." J Pharmacol Exp Ther 347, no. 3 (2013): 599-606.
"A model-based conditional power assessment for decision making in randomized controlled trial studies." Stat Med 36, no. 30 (2017): 4765-4776.
"Translational studies of phenotypic probes for the mononuclear phagocyte system and liposomal pharmacology." J Pharmacol Exp Ther 347, no. 3 (2013): 599-606.
"Secondary outcome analysis for data from an outcome-dependent sampling design." Stat Med 37, no. 15 (2018): 2321-2337.
"A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
"Marginal hazard regression for correlated failure time data with auxiliary covariates." Lifetime Data Anal 18, no. 1 (2012): 116-38.
"Statistical inferences for data from studies conducted with an aggregated multivariate outcome-dependent sample design." Stat Med 36, no. 6 (2017): 985-997.
"On model selections for repeated measurement data in clinical studies." Stat Med 34, no. 10 (2015): 1621-33.
"Semiparametric inference for a 2-stage outcome-auxiliary-dependent sampling design with continuous outcome." Biostatistics 12, no. 3 (2011): 521-34.
"Improving efficiency of parameter estimation in case-cohort studies with multivariate failure time data." Biometrics 73, no. 3 (2017): 1042-1052.
"Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data." Lifetime Data Anal 26, no. 1 (2020): 85-108.
"Estimation of a partially linear additive model for data from an outcome-dependent sampling design with a continuous outcome." Biostatistics 17, no. 4 (2016): 663-76.
"Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
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