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Likelihood Ratio Tests for a Change Point with Survival

We consider the likelihood ratio test for a change point or lag of the eeect of some covariates (e.g. treatment) in regression modeling of survival data subject to right censoring. Asymptotic distributions under null hypotheses are derived. Numerical examples are used to illustrate the implementation of the procedure. Finally we apply the theory to data from a large randomized cancer prevention trial.