论文信息 - Testing Goodness of Fit for Proportional Hazards Model with Censored Observations

Testing Goodness of Fit for Proportional Hazards Model with Censored Observations

Abstract A numerical omnibus test of fit for the two-sample proportional hazards model is proposed for randomly censored observations. The test is derived from Cox's partial likelihood and does not need a dummy time-dependent covariate or any partition of the time-axis. Consistency of the test is established. Examples are provided for illustration.

L. J. Wei | L. J. Wei

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