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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.
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L. J. Wei (Sat,) studied this question.
www.synapsesocial.com/papers/6a0899d4113ba5b476de519e — DOI: https://doi.org/10.1080/01621459.1984.10478092
L. J. Wei
Journal of the American Statistical Association
George Washington University
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