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Modeling grouped survival data with time-dependent covariates
(Taylor & Francis Inc, 2006-10-01)
In this article, proportional hazards and logistic models for grouped survival data were extended to incorporate time-dependent covariates. The extension was motivated by a forestry experiment designed to compare five ...
Bayesian transformation models for multivariate survival data
(John Wiley and SonsMalden, 2014-03)
In this paper, we propose a general class of Gamma frailty transformation models
for multivariate survival data. The transformation class includes the commonly used proportional
hazards and proportional odds models. The ...
Likelihood approximations and discrete models for tied survival data
(Marcel Dekker Inc, 2002-01-01)
Ties among event times are often recorded in survival studies. For example, in a two week laboratory study where event times are measured in days, ties are very likely to occur. The proportional hazards model might be used ...
Modelling non-proportional hazard for survival data with different systematic components
(Springer, 2020-06-30)
We propose a new extended regression model based on the logarithm of the generalized odd log-logistic Weibull distribution with four systematic components for the analysis of survival data. This regression model can be ...
A general threshold stress hybrid hazard model for lifetime data
(SPRINGERNEW YORK, 2012)
In this paper we propose a hybrid hazard regression model with threshold stress which includes the proportional hazards and the accelerated failure time models as particular cases. To express the behavior of lifetimes the ...
Tests of proportional hazards and proportional odds models for grouped survival data
(International Biometric Soc, 2000-12-01)
In this paper, we derive score test statistics to discriminate between proportional hazards and proportional odds models for grouped survival data. These models are embedded within a power family transformation in order ...
A Generalized Log-Normal Model for Grouped Survival Data
(Taylor & Francis Inc, 2010-01-01)
It is common to have experiments in which it is not possible to observe the exact lifetimes but only the interval where they occur. This sort of data presents a high number of ties and it is called grouped or interval-censored ...
A general hazard model for lifetime data in the presence of cure rate
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2011)
Historically, the cure rate model has been used for modeling time-to-event data within which a significant proportion of patients are assumed to be cured of illnesses, including breast cancer, non-Hodgkin lymphoma, leukemia, ...
Characterization of the variable cow's age at last calving as a measurement of longevity by using the Kaplan-Meier estimator and the Cox model
(2013-04-01)
In most studies on beef cattle longevity, only the cows reaching a given number of calvings by a specific age are considered in the analyses. With the aim of evaluating all cows with productive life in herds, taking into ...
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 ...