Proportional Odds Hazard Model for Discrete Time-to-Event Data

被引：1

作者：

Vieira, Maria Gabriella Figueiredo ^{[1
]}

Cardial, Marcilio Ramos Pereira ^{[2
]}

Matsushita, Raul ^{[1
]}

Nakano, Eduardo Yoshio ^{[1
]}

机构：

[1] Univ Brasilia, Dept Stat, Campus Darcy Ribeiro, BR-70910900 Brasilia, Brazil

[2] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, Brazil

来源：

AXIOMS | 2023年 / 12卷 / 12期

关键词：

proportional odds regression model; discrete censored data; survival analysis; REGRESSION;

D O I：

10.3390/axioms12121102

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this article, we present the development of the proportional odds hazard model for discrete time-to-event data. In this work, inferences about the model's parameters were formulated considering the presence of right censoring and the discrete Weibull and log-logistic distributions. Simulation studies were carried out to check the asymptotic properties of the estimators. In addition, procedures for checking the proportional odds assumption were proposed, and the proposed model is illustrated using a dataset on the survival time of patients with low back pain.

引用

页数：17

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