Hi all, If I got a Cox model based on training set, then how should I calculate the Cox log partial likelihood for the test data? Actually I am trying to calculate the deviance on test dataset to evaluate the performance of prediction model, the equation is as follows: D -2{L(test)[beta_train] - L(test)[0]}. It means using the beta coefficients got from training set to calculate the likelihood of test data. I know I can got log likelihood for training model, but how to get it for test data? Any package or function can do that? -- View this message in context: http://r.789695.n4.nabble.com/How-to-calculate-deviance-on-test-data-tp4503206p4503206.html Sent from the R help mailing list archive at Nabble.com.