A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring.

Published

Journal Article

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.

Full Text

Cited Authors

  • Zhao, Y; Herring, AH; Zhou, H; Ali, MW; Koch, GG

Published Date

  • January 2014

Published In

Volume / Issue

  • 24 / 2

Start / End Page

  • 229 - 253

PubMed ID

  • 24605967

Pubmed Central ID

  • 24605967

Electronic International Standard Serial Number (EISSN)

  • 1520-5711

International Standard Serial Number (ISSN)

  • 1054-3406

Digital Object Identifier (DOI)

  • 10.1080/10543406.2013.860769

Language

  • eng