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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 ...
A Generalized Log-Normal Model for Grouped Survival Data
(Taylor & Francis Inc, 2014)
Modeling grouped survival data with time-dependent covariates
(Taylor & Francis Inc, 2014)
An application of discrete time survival models to analyze student dropouts at a private university in Peru
(Pontificia Universidad Católica del PerúPE, 2016)
An application of discrete time survival models to analyze student dropouts at a private university in Peru
(Pontificia Universidad Católica del PerúPE, 2016)
Modelagem de dados de sobrevivência com eventos recorrentes via fragilidade discreta
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Estatística - PPGEsCâmpus São Carlos, 2015-09-02)
In this thesis it is proposed alternative methodologies and extensions on
models for recurrent event data. Speci cally, we propose a model in which
the distribution of the gap time is easily derived from the marginal ...
ORDMKV: a computer program fitting proportional odds model for multi-state Markov process
(1995)
ORDMKV is a computer program designed to fit a multi-state discrete-time Markov model for k-stages disease processes having an ordinal structure. The model consists of k transient states representing the increasing severity ...
Regression models for grouped survival data: Estimation and sensitivity analysis
(ELSEVIER SCIENCE BV, 2011)
In this study, regression models are evaluated for grouped survival data when the effect of censoring time is considered in the model and the regression structure is modeled through four link functions. The methodology for ...
Regression models for grouped survival data: Estimation and sensitivity analysis
(2011)
In this study, regression models are evaluated for grouped survival data when the effect of censoring time is considered in the model and the regression structure is modeled through four link functions. The methodology for ...
Likelihood approximations and discrete models for tied survival data
(Marcel Dekker Inc, 2014)