Publications and Preprints
Tests based on U-statistics for testing equality of competing risks when causes of failures are missing
Isha Dewan and Sangita Kulathinal
Competing risks data consist of failure times and causes of failure.
In practice, causes may not be known for all individuals of a study due to experimental
constraints. We propose tests for testing equality of two competing
risks against the alternatives of dominance of sub-distribution
functions, sub-survival functions and cause-specific hazard rates under
the assumption that causes are missing at random. The proposed tests are applied to simulated data to evaluate
empirical powers to assess their performances.
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