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Exploiting the analytic properties of cumulative hazards for survival analysis

Grant number: 17/50321-9
Support type:Regular Research Grants
Duration: April 01, 2018 - March 31, 2020
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Statistics
Cooperation agreement: University of Bath
Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
Principal researcher:Francisco Louzada Neto
Grantee:Francisco Louzada Neto
Principal researcher abroad: Alejandro Anaya Izquierdo
Institution abroad: University of Bath, England
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

This project willlook at developing new statistical models for survival analysis that exploit the analytical and numerical properties of an overlooked key function: the cumulative hazard function. These analytical properties are very powerful and well understood from the convex analysis point of view but, perhaps surprisingly, they have not been so far exploited for statistical modelling so this project this comprises a very promising new to survival data analysis. The project will look at both methodological and computational aspects as well as both univariate and regression modelling. The methodologies developed can be applied to both Biomedica land Engineering Reliability data. (AU)

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VEICULO: TITULO (DATA)