23º SINAPE - Simpósio Nacional de Probabilidade e Estatística

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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.

Área

Geral

Autores

LARISSA AVILA MATOS