Using SAS to calculate the Kent and O'Quigley measure of dependence for Cox proportional hazards regression model
نویسنده
چکیده
Kent and O'Quigley (1988) apply the concept of information gain to define a measure of dependence (R-squared measure) between explanatory variables and a censored response variable within the framework of the Cox model. Two SAS macros to calculate this measure are presented. The first one is based on a Newton-Raphson search and makes use of the SAS IML procedure. The second one is a simple grid search using SAS DATA steps and Base-SAS procedures.
منابع مشابه
Explained randomness in proportional hazards models.
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ورودعنوان ژورنال:
- Computer methods and programs in biomedicine
دوره 63 1 شماره
صفحات -
تاریخ انتشار 2000