Life Tables with Concomitant Information

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Abstract
A regression model for the analysis of survival data adjusting for concomitant information is developed. The model presented can lead to the log linear exponential model (Glasser [1967]) and the life table regression model of Cox [1972]. The model described can be used to analyze data from the commonly employed actuarial life table. A discussion of the special case where one is comparing 2 survival curves is presented. The methods developed are illustrated using data from a clinical trial investigating treatments for [human] lung cancer.