Multiple imputation methods for testing treatment differences in survival distributions with missing cause of failure
- 1 March 2002
- journal article
- research article
- Published by Oxford University Press (OUP) in Biometrika
- Vol. 89 (1) , 238-244
- https://doi.org/10.1093/biomet/89.1.238
Abstract
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.Keywords
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