Function comparable to cutpt.coxph from "Survival Analysis using S"
It is very uncommon for the assumptions underlying this method to be satisfied. These assumptions include (1) the relationship between X and log relative hazard is discontinuous at X=c and only X=c; (2) c is correctly found as the cutpoint; (3) X vs log hazard is flat to the left of c; (4) X vs log hazard is flat to the right of c; (5) the 'optimal' cutpoint does not depend on the values of other predictors. These relationships rarely occur in nature unless X=time. Failure to have these assumptions satisfied will result in (1) great error in estimating c (because c doesn't exist); (2) low predictive accuracy; (3) serious lack of fit; (4) residual confounding; and (5) overestimation of effects of remaining variables. This non-existence of cutpoints is why in medical research no two investigators seem to find the same cutpoint for the same predictor in different datasets. Frank ----- Frank Harrell Department of Biostatistics, Vanderbilt University
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