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Efficient estimation for the Cox model with interval censoring


Author(s) : Jian Huang, 
Publisher : N/A
Publication Date : 1996
ISSN : N/A
Abstract : Abstract The maximum likelihood estimator (MLE) for the proportional hazards model with current status data is studied. It is shown that the MLE for the regression parameter is asymptotically normal with p n-convergence rate and achieves the information bound, even though the MLE for the baseline cumulative hazard function only converges at n,