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A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem
(TAYLOR & FRANCIS INC, 2010)
In this article, we introduce a semi-parametric Bayesian approach based on Dirichlet process priors for the discrete calibration problem in binomial regression models. An interesting topic is the dosimetry problem related ...
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 ...
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 ...
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. ...
Dynamic analysis of recurrent event data with missing observations, with application to infant diarrhoea in Brazil
(2007)
This paper examines and applies methods for modelling longitudinal binary data subject to both intermittent missingness and dropout. The paper is based around the analysis of data from a study into the health impact of a ...
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 ...
Modelo geométrico de ordem k correlacionado
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2019-08-29)
In this work we propose the correlated geometric distribution of order k, k≥1, with parameters π and ρ; π ∈(0,1), max{−1,−1−π π } ≤ρ < 1, as an extension of the generalized geometric distribution proposed by Philippou e ...