Title | A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Zhao, Yue, Amy H. Herring, Haibo Zhou, Mirza W. Ali, and Gary G. Koch |
Journal | J Biopharm Stat |
Volume | 24 |
Issue | 2 |
Pagination | 229-53 |
Date Published | 2014 |
ISSN | 1520-5711 |
Keywords | Clinical Trials as Topic, Data Interpretation, Statistical, Follow-Up Studies, Humans, Kaplan-Meier Estimate, Time Factors, Withholding Treatment |
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. |
DOI | 10.1080/10543406.2013.860769 |
Alternate Journal | J Biopharm Stat |
Original Publication | A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring. |
PubMed ID | 24605967 |
PubMed Central ID | PMC4009741 |
Grant List | P01 CA142538 / CA / NCI NIH HHS / United States R01 ES021900 / ES / NIEHS NIH HHS / United States |
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