Publications and Preprints

On testing dependence between time to failure and cause of failure via conditional probability: An extension to missing data on cause of failure
Isha Dewan and Sangita Kulathinal
We propose tests based on U-statistics to test for independence of the failure time and the cause of failure in the competing risks model when we all the causes of failure cannot be identified. The asymptotic distribution is normal in each case. Simulation studies look at power comparisons for the proposed tests for two families of distributions. The one-sided and the two-sided tests based on Kendall type statistic perform exceedingly well in detecting departures from independence.

isid/ms/2006/06 [fulltext]

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