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A General Two-Sample Test for Treatment Effect with Covariates Adjustment

Hong-Dar Isaac Wu


We study the weighted log-rank (WLR) test derived from a two-dimensional score function based on nonproportional hazards (NPH) models. Two classes of NPH models produce the same two-sample test. This study offers a quick and easy-to-implement WLR test incorporating covariates adjustment. Simulation results show that the proposed test has promising power.


proportional hazards, log-rank test, nonproportional hazards, weighted logrank test, adjustment.

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