A Multiple Imputation Method for Sensitivity Analyses of Time-to-Event Data with Possibly Informative Censoring

作者：Zhao Yue^*; Herring Amy H; Zhou Haibo; Ali Mirza W; Koch Gary G

来源：Journal of Biopharmaceutical Statistics, 2014, 24(2): 229-253.

DOI：10.1080/10543406.2013.860769

• Sensitivity analysis
• Time-to-event data
• Multiple imputation

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.

• 出版日期2014-3-4