
SUMMARY Simple estimators of the average hazard ratio are obtained for the two sample problem with censored failure time data. These estimators are compared with estimators arising out of the partial likelihood within the proportional hazards class. Efficiency results are found to be generally quite favourable provided the hazard ratio is not too large. Some comments are made on extensions to the k sample problem.
Reliability and life testing, log rank test, failure time model, partial likelihood, proportional hazard, Asymptotic properties of nonparametric inference, censored data, Nonparametric estimation, Gaussian process, Kaplan-Meier estimation
Reliability and life testing, log rank test, failure time model, partial likelihood, proportional hazard, Asymptotic properties of nonparametric inference, censored data, Nonparametric estimation, Gaussian process, Kaplan-Meier estimation
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