[Estimation of the hazards ratio in two grouped samples].
A simple estimator of the hazards ratio of two grouped samples is proposed. If the number of time grouping intervals is fixed, the following asymptotics hold: unbiasedness, and full efficiency when the true hazards ratio is 1 and the probability of failure in each interval is small. Under the latter condition, the estimator is equivalent to "MHP" estimator (Mantel-Haenszel estimator for a Poisson model). Simulations show that this estimator performs better than others when grouping is coarse. An asymptotically unbiased estimator of its variance is proposed.
D001699:Biometry; D006801:Humans; D008954:Models, Biological; D009026:Mortality; D012306:Risk
Estimation of the hazards ratio in two grouped samples.