Proportional odds hazard model for discrete time-to-event data

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Vieira, Maria Gabriella Figueiredo
Dyddiad Cyhoeddi: 2023
Awduron Eraill: Cardial, Marcílio Ramos Pereira, Matsushita, Raul, Nakano, Eduardo Yoshio
Fformat: Article
Iaith: eng
Ffynhonnell: Repositório Institucional da UnB
Download full: http://repositorio.unb.br/handle/10482/47634
https://doi.org/10.3390/axioms12121102
https://orcid.org/0000-0003-2533-4720
https://orcid.org/0000-0003-3610-1623
https://orcid.org/0000-0001-8864-6356
https://orcid.org/0000-0002-9071-8512
Crynodeb: : 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.