© 2002 by Biometrika Trust
Miscellaneous |
Multiple imputation methods for testing treatment differences in survival distributions with missing cause of failure
1 Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695, U.S.Atsiatis{at}stat.ncsu.edu davidian{at}stat.ncsu.edu 2 Department of Mathematics and Statistics, Simon Fraser University, Burnaby, British Colombia VSA 1S6, Canada mcneney{at}stat.sfu.ca
We propose a method for comparing survival distributions when cause-of-failure information is missing for some individuals. We use multiple imputation to impute missing causes of failure, where the probability that a missing cause is that of interest may depend on auxiliary covariates, and combine log-rank statistics computed from several completed datasets into a test statistic that achieves asymptotically the nominal level. Simulations demonstrate the relevance of the theory in finite samples.
Key Words: Competing risks; Log-rank test; Missing at random; Survival analysis
Received August 2000. Revised August 2001