[ABE-L] Seminário Conjunto UFSCar/ICMC - 10/10/2014 - 14h00 - ICMC-USP

[Carlos Diniz]

Seminário Conjunto UFSCar/ICMC – 10/10/2014 - 14h00

LOCAL: Auditório Prof. Luiz Antonio Fávaro – Bloco 4 - ICMC-USP  


TÍTULO: Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

PALESTRANTE: Rafael P. Maia - ESALQ/USP

RESUMO: 

A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented concentrates on longevity studies. The framework presented allows to combine models based on continuous time with models based on discrete time in a joint analysis. The continuous time models are approximations of the frailty model in which the baseline hazard function will be assumed to be piece-wise constant. The discrete time models used are multivariate variants of the discrete relative risk models. These models allow for regular parametric likelihood-based inference by exploring a coincidence of their likelihood functions and the likelihood functions of suitably defined multivariate generalized linear mixed models. The models include a dispersion parameter, which is essential for obtaining a decomposition of the variance of the trait of interest as a sum of parcels represent- ing the additive genetic effects, environmental effects and unspecified sources of variability; as required in quantitative genetic applications. The methods presented are implemented in such a way that large and complex quantitative genetic data can be analysed. 

(*) Joint work with Per Madsen and Rodrigo Labouriau (Aarhus University, Denmark)


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