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Estimation of the Hazards Ratio in Two Grouped Samples

Estimation of the hazards ratio in two grouped samples

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 1985Publisher:JSTORJournal:Biometrics, volume 41, page 245 (issn: 0006-341X,

Authors: P. Myquel; J. Lellouch; T. Moreau; M. Le Minor;

doi: 10.2307/2530659

pmid: 4005378

Estimation of the Hazards Ratio in Two Grouped Samples

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Abstract

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.

Keywords

Risk, Biometry, ties, Mantel-Haenszel estimator, simulation, Models, Biological, Applications of statistics to biology and medical sciences; meta analysis, grouped samples, unbiasedness, efficiency, asymptotic properties, asymptotically unbiased estimator, estimator of the hazards ratio, true hazards ratio, censored data, Humans, probability of failure, Mortality, Nonparametric estimation

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