title: A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring.
abstract: This 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.
authors.affiliation: a Duke Clinical Research Institute , Durham , North Carolina , USA.
authors.forename: Yue
authors.initials: Y
authors.lastname: Zhao
authors.forename: Amy H
authors.initials: AH
authors.lastname: Herring
authors.forename: Haibo
authors.initials: H
authors.lastname: Zhou
authors.forename: Mirza W
authors.initials: MW
authors.lastname: Ali
authors.forename: Gary G
authors.initials: GG
authors.lastname: Koch
mesh_terms: D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D005500:Follow-Up Studies; D006801:Humans; D053208:Kaplan-Meier Estimate; D013997:Time Factors; D028761:Withholding Treatment / Q000706:statistics & numerical data*