Dados do Trabalho

Título

Heteroscedastic odd log-logistic generalized gamma regression model for interval-censored data

Resumo

The interval-censored survival data appear very frequently, where the event of interest is not
observed exactly but it is only known to occur within some time interval. In this article, we propose
a location-scale heteroscedastic regression model based on the odd log-logistic generalized gamma
family of the distribution for modeling interval-censored data. We shall be concerned only with
parametric forms. The proposed model for interval-censored data represents a parametric family of
models that has, as special sub-models, other regression models that are broadly used in lifetime data
analysis.

Palavras-chave

Odd log-logistic generalized gamma distribution; Generalized gamma distribution; Interval censored data; Maximum likelihood; Regression model.