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A multivariate survival model induced by discrete frailty
(Taylor & Francis Inc, 2020-08-11)
Frailty models are generally used to model heterogeneity and dependence between individuals. The distribution of the frailty variable is often assumed to be continuous. However, there are situations where a discretely-distributed ...
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 ...
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 ...
Different Approaches for Modeling Grouped Survival Data: A Mango Tree Study
(AMER STATISTICAL ASSOC & INT BIOMETRIC SOC, 2009)
Interval-censored survival data, in which the event of interest is not observed exactly but is only known to occur within some time interval, occur very frequently. In some situations, event times might be censored into ...
Modelo de regressão chances de sobrevivência proporcionais para dados discretos com presença de censura
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2023-04-25)
Survival models, in their majority, consider continuous survival times. However, in several studies these times are discrete, and in some occasions, it is not advisable to use a continuous model to analyze discrete data. ...
Application of discrete Burr XII distribution in the analysis of animal production dataAplicação da distribuição Burr XII discreta na análise de dados de produção animal
(Universidade Federal de Santa Maria, 2018)
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 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 ...
Identification of factors that affect the loss of student status using a logit survival model for discrete time data
(Universidad Nacional de Colombia Sede Medellín, 2012)
The phenomenon of loss of the student status due to low academic performance is a serious problem that affects the main universities of this country. Low performance is also related in a direct way to student dropout. This ...
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 ...