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Analysis of Dichotomized Factorial Data Using Cox's Proportional Hazards Model and Related Tests
Authors:F D'Amico  B R Rao  P E Enterline
Abstract:This paper describes how Cox's Proportional Hazards model may be used to analyze dichotomized factorial data obtained from a right-censored epidemiological study where time to response is of interest. Exact maximum likelihood estimates of the relative mortality rates are derived for any number of prognostic factors, but for the sake of simplicity, the mathematical details are presented for the case of two factors. This method is not based on the life table procedure. Kaplan-Meier estimates are obtained for the survival function of the internal control population, Which are in turn used to determine the expected number of deaths in the study population. The asymptotic (large sample) joint sampling distribution of the relative mortality rates is derived and some relevant simultaneous and conditional statistical tests are discussed. The relative mortality rates of several prognostic factors may be jointly considered as the multivariate extension of the familiar standard mortality ratio (SMR) of epidemiological studies. A numerical example is discussed to illustrate the method.
Keywords:Dichotomized factorial data  proportional hazards model  right-censored epidemiological study  time to response  survival function  life-table  Kaplan-Meier estimate  maximum likelihood  concomitant variable
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