Abstract:
:We propose a method to estimate the regression coefficients in a competing risks model where the cause-specific hazard for the cause of interest is related to covariates through a proportional hazards relationship and when cause of failure is missing for some individuals. We use multiple imputation procedures to impute missing cause of failure, where the probability that a missing cause is the cause of interest may depend on auxiliary covariates, and combine the maximum partial likelihood estimators computed from several imputed data sets into an estimator that is consistent and asymptotically normal. A consistent estimator for the asymptotic variance is also derived. Simulation results suggest the relevance of the theory in finite samples. Results are also illustrated with data from a breast cancer study.
journal_name
Biometricsjournal_title
Biometricsauthors
Lu K,Tsiatis AAdoi
10.1111/j.0006-341x.2001.01191.xsubject
Has Abstractpub_date
2001-12-01 00:00:00pages
1191-7issue
4eissn
0006-341Xissn
1541-0420journal_volume
57pub_type
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