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Journal of Biopharmaceutical Statistics|May 10, 2000
Multiple imputation compared with some informative dropout procedures in the estimation and comparison of rates of change in longitudinal clinical trials with dropoutsM W Ali, O SiddiquiJournal of Biopharmaceutical Statistics|May 10, 2000
Design and estimation in the limiting dilution assay when concentrations vary widely among samplesR S Parrish, L J HazlettJournal of Biopharmaceutical Statistics|July 19, 2001
Carry-over effects in bioequivalence studiesG Dangelo, D Potvin, J TurgeonJournal of Biopharmaceutical Statistics|August 29, 2019
Approximate confidence limit for the reference scaled bioequivalence with a parallel designJason J Z Liao, Yifang LiJournal of Biopharmaceutical Statistics|February 28, 2019
Profile clustering in clinical trials with longitudinal and functional data methodsHangjun Gong, Xiaolei Xun, Yingchun ZhouJournal of Biopharmaceutical Statistics|October 9, 2019
Homogeneity assessment for pivotal medical device clinical studiesXu Yan, Chul Ahn, Jianxiong Chu, et al.Journal of Biopharmaceutical Statistics|March 11, 2011
Defining, evaluating, and removing bias induced by linear imputation in longitudinal clinical trials with MNAR missing dataRonald W Helms, Laura Helms Reece, Russell W Helms, et al.Journal of Biopharmaceutical Statistics|March 11, 2011
Intent-to-randomize corrections for missing data resulting from run-in selection bias in clinical trials for chronic conditionsVance W Berger, Behrang ValiJournal of Biopharmaceutical Statistics|March 11, 2011
Analysis of missing mechanism in IVUS imaging clinical trials with missing covariatesMingxiu Hu, Tianyue ZhouJournal of Biopharmaceutical Statistics|March 11, 2011
Handling missing data in vaccine clinical trials for immunogenicity and safety evaluationXiaoming Li, William W B Wang, Guanghan F Liu, et al.Pageof 219