Abstract
Consider the Lehmann model with time-dependent covariates, which is different from Coxs model. We find out that (1) the parameter space for β under the Lehmann model is restricted, and the maximum point of the parametric likelihood for β may lie outside the parameter space; (2) for some particular time-dependent covariate, under the standard generalized likelihood the semiparametric maximum likelihood estimator (SMLE) is inconsistent and we propose a modified generalized likelihood which leads to the consistent SMLE.
Original language | English (US) |
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Pages (from-to) | 4380-4395 |
Number of pages | 16 |
Journal | Communications in Statistics - Theory and Methods |
Volume | 44 |
Issue number | 20 |
DOIs | |
State | Published - Oct 18 2015 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability