The Lehmann Model with Time-dependent Covariates

Qiqing Yu, George Y.C. Wong, Michael P. Osborne, Yuting Hsu, Xiaosong Ai

Research output: Contribution to journalArticle

1 Citation (Scopus)

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 languageEnglish (US)
Pages (from-to)4380-4395
Number of pages16
JournalCommunications in Statistics - Theory and Methods
Volume44
Issue number20
DOIs
StatePublished - Oct 18 2015

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Time-dependent Covariates
Likelihood
Maximum Likelihood Estimator
Parameter Space
Cox Model
Inconsistent
Model

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

Cite this

Yu, Qiqing ; Wong, George Y.C. ; Osborne, Michael P. ; Hsu, Yuting ; Ai, Xiaosong. / The Lehmann Model with Time-dependent Covariates. In: Communications in Statistics - Theory and Methods. 2015 ; Vol. 44, No. 20. pp. 4380-4395.
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The Lehmann Model with Time-dependent Covariates. / Yu, Qiqing; Wong, George Y.C.; Osborne, Michael P.; Hsu, Yuting; Ai, Xiaosong.

In: Communications in Statistics - Theory and Methods, Vol. 44, No. 20, 18.10.2015, p. 4380-4395.

Research output: Contribution to journalArticle

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