New flexible parametric and semiparametric models for survival analysis

• Ano de defesa: 2017
• Autor(a) principal: Ramires, Thiago Gentil
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
• Palavras-chave em Português: Bimodalidade; Bimodality; Cure rate; Fração de cura; GAMLSS; P-splines
• Link de acesso: http://www.teses.usp.br/teses/disponiveis/11/11134/tde-24082017-144745/

In this work was proposed a new distributions, called log-sinh Cauchy, with has bimodal shapes and can be used as alternative to the mixture models. Based in the proposed distribution, the following models were proposed: Regression model based in the GAMLSS framework; models with cure rate based in the mixture and promotion time models; semiparametric models, modeling the parameters using penalized splies; semiparametric models, using the penalized splines to model the non-linear effects present in the cure rate. For all proposed models, the computational codes were implemented in the R software, with is available along of the document as well as some brief introduction on how to use them.