Árvore de regressão para dados censurados e correlacionados

TL;DRAbstract

The objective of this work is to present methods of regression trees for censored and correlated data. The dataset analyzed was obtained from a survey, in which 119 families (1712 individuals) living in Baependi village, in the Brazilian state of Minas Gerais, were interviewed. Two methodologies based on the proportional hazard model are presented. The rst disregards the possible correlation among the individuals of the same family, using the rst step of a full likelihood estimation procedure for splitting nodes. In the second methodology, the correlation among the individuals of the same family is incorporated in the proportional hazard model through a frailty variable with Gamma distribution. In this case, the value of the Score statistic is used for choosing the best splitting node. The main purpose of the analysis is to evaluate the variables that increase the risk of hypertension, type II diabetes and high cholesterol, which are the top three main factors that increase the risk of

Chat with Paper

AI Agents for this Paper