CitationZhao, Yue; Herring, Amy H.; Zhou, Haibo; Ali, Mirza W.; & Koch, Gary G. (2014). A Multiple Imputation Method for Sensitivity Analyses of Time-to-Event Data with Possibly Informative Censoring. Journal of Biopharmaceutical Statistics, 24(2), 229-253. PMCID: PMC4009741
AbstractThis article presents a multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring. The imputed time for censored values is drawn from the failure time distribution conditional on the time of follow-up discontinuation. A variety of specifications regarding the post-discontinuation tendency of having events can be incorporated in the imputation through a hazard ratio parameter for discontinuation versus continuation of follow-up. Multiple-imputed data sets are analyzed with the primary analysis method, and the results are then combined using the methods of Rubin. An illustrative example is provided.
Reference TypeJournal Article
Journal TitleJournal of Biopharmaceutical Statistics
Herring, Amy H.
Ali, Mirza W.
Koch, Gary G.