Smoothed rank-based procedure for censored data


Autoria(s): Zhao, Yudong; Brown, Bruce M.; Wang, You-Gan
Data(s)

2014

Resumo

A smoothed rank-based procedure is developed for the accelerated failure time model to overcome computational issues. The proposed estimator is based on an EM-type procedure coupled with the induced smoothing. "The proposed iterative approach converges provided the initial value is based on a consistent estimator, and the limiting covariance matrix can be obtained from a sandwich-type formula. The consistency and asymptotic normality of the proposed estimator are also established. Extensive simulations show that the new estimator is not only computationally less demanding but also more reliable than the other existing estimators.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/90421/

Publicador

Institute of Mathematical Statistics

Relação

http://eprints.qut.edu.au/90421/1/90427.pdf

DOI:10.1214/14-ejs975

Zhao, Yudong, Brown, Bruce M., & Wang, You-Gan (2014) Smoothed rank-based procedure for censored data. Electronic Journal of Statistics, 8(2), pp. 2953-2974.

Direitos

Copyright 2014 Institute of Mathematical Statistics

Fonte

Science & Engineering Faculty

Palavras-Chave #Accelerated failure time model #Buckley-James estimator #induced #smoothing #rank-based procedure #failure time model #linear-regression #clustered data #tests #estimator
Tipo

Journal Article