Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time

Details Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time

2006-02-11

arxiv.org/abs/math/0602240v1

Annals of Statistics 2005, Vol. 33, No. 5, 2132-2163

Mathematics

Statistics Theory

Published at http://dx.doi.org/10.1214/009053605000000480 in the Annals of Statistics (http://www.imstat.org/aos/) by the Inst

Scientific paper

10.1214/009053605000000480

Maximum likelihood estimation has been extensively used in the joint analysis of repeated measurements and survival time. However, there is a lack of theoretical justification of the asymptotic properties for the maximum likelihood estimators. This paper intends to fill this gap. Specifically, we prove the consistency of the maximum likelihood estimators and derive their asymptotic distributions. The maximum likelihood estimators are shown to be semiparametrically efficient.

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