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Modeling survival data based on a reparameterized weighted Lindley distribution
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2022-06-24)
In this work, we propose different statistical modeling for survival data based on a reparameterized weighted Lindley distribution. Initially, we present this distribution and study its mathematical properties, maximum ...
Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap
(Carfax Publishing, 2003-01-01)
This work develops a new methodology in order to discriminate models for interval-censored data based on bootstrap residual simulation by observing the deviance difference from one model in relation to another, according ...
Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap
(Carfax Publishing, 2003-01-01)
This work develops a new methodology in order to discriminate models for interval-censored data based on bootstrap residual simulation by observing the deviance difference from one model in relation to another, according ...
Tests of proportional hazards and proportional odds models for grouped survival data
(International Biometric Soc, 2014)
Mortality in parenchymal and subarachnoid neurocysticercosis
(American Society of Tropical Medicine and Hygiene, 2021)
Neurocysticercosis (NCC) is endemic in many parts of the world, carrying significant neurological morbidity that varies according to whether lesions are located inside the cerebral parenchyma or in extraparenchymal spaces. ...
Economic conditions and birth spacing in Colombia: a semi-parametric approach
This document aims to provide evidence on the association between economic conditions and household fertility decisions related
to birth spacing by using a Cox proportional hazards model. The contribution of the paper is ...
Bayesian analysis of survival data with missing censoring indicators
(WILEY, 2021)
In some large clinical studies, it may be impractical to perform the physical examination to every subject at his/her last monitoring time in order to diagnose the occurrence of the event of interest. This gives rise to ...
Properties and inference for proportional hazard models
(Universidad Nacional de Colombia, 2013)
We consider an arbitrary continuous cumulative distribution functionF(x) with a probability density function f(x) = dF(x)=dx and hazard functionhf (x) = f(x)=[1