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AbstractAn approximate representation is given for the partial likelihood estimate of the regression coefficient in Cox's proportional hazard model which indicates how it measures the association between survival time and covariate. The case of a single covariate is concentrated on. The representation is closely related to the first step of a Newton‐Raphson iteration, i.e. to the score test. A similar representation for the Feigl‐Zelen exponential model shows that a similar type of association is being measured, if observed lifetimes are interpreted as expected lifetimes of ordered exponentials. Necessary and sufficient conditions for the existence of Cox's estimate in the simple case are also written down.
partial likelihood estimate, score test, Necessary and sufficient conditions, existence, Cox's proportional hazard model, regression coefficient, Applications of statistics to biology and medical sciences; meta analysis, Feigl-Zelen exponential model, approximate representation, survival time, Asymptotic properties of parametric estimators, Cox's estimate
partial likelihood estimate, score test, Necessary and sufficient conditions, existence, Cox's proportional hazard model, regression coefficient, Applications of statistics to biology and medical sciences; meta analysis, Feigl-Zelen exponential model, approximate representation, survival time, Asymptotic properties of parametric estimators, Cox's estimate
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