Dados do Trabalho

Título

ESTIMATION AND DIAGNOSTICS IN MULTIVARIATE MODELS FOR CENSORED DATA

Data de titulação

30/05/2016

Instituição de titulação

Universidade Estadual de Campinas

RESUMO (abstract)

In some acquired immunodeficiency syndrome (AIDS) clinical trials, the human immunod- eficiency virus-1 ribonucleic acid measurements are collected irregularly over time and are often subject to some upper and lower detection limits, depending on the quantification assays. Hence, these responses are either left- or right-censored. In practice, longitudinal data coming from those follow-up studies can be modelled using censored linear and non- linear mixed-e ects models and also censored regression models with a specific correlation structures on the error terms. A complication arises when more than one series of responses are repeatedly collected on each subject at irregularly occasions over a period of time. The multivariate censored linear mixed model is a frequently used tool for a joint analysis of more than one series of longitudinal data. In this thesis we develop a series of essays in which di erent models and techniques to deal with censored data are applied. As result, we had several works to carry out censored data.