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On the interval estimation of the parameters of a generalized time-dependent logistic model

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posted on 2022-11-11, 20:07 authored by Francisco Louzada-Neto, Gilbert MackenzieGilbert Mackenzie, Caroline Pires Cremasco, Paulo Henrique Ferreira-Silva
In order to accommodating crossing hazard curves, which are non- proportional hazards, we consider in this paper a generalized time-dependent logistic hazard survival model, which has a time-dependent term. The model is a wholly parametric competitor for the Cox proportional hazard model. We compare different procedures to compute confiddence intervals for the model parameters in presence of random censoring. Our simulation study focus on the study of the coverage probabilities of these different confidence intervals and on the significance levels of some hypothesis tests. We discovered that parametric and non-parametric resampling methods can be successfully used for hypothesis testing and generating precise confidence intervals for the parameters even on small and moderate sized samples.

History

Publication

Revista Brasileira de Biometria;Biometric Brazilian Journal;29(3), pp. 512-519

Publisher

UNESP

Note

peer-reviewed

Other Funding information

Brazilian Organizations FAPESP, CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico – www.cnpq.br), SFI

Language

English

Also affiliated with

  • BIO-SI - Bio-Statistics & Informatics Project

Department or School

  • Mathematics & Statistics

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