[ABE-L] Seminário UFSCar/ICMC – Quinta 21/05/2015 - 16h00 - na UFSCar

[Rafael Izbicki]

Divulgação da palestra desta semana do Seminário do Programa
Interinstitucional de Pós-graduação em Estatística
<http://www.icmc.usp.br/Portal/conteudo/1096/13/interinstitucional-de-pos-graduacao-em-estatistica>
(PIPGEs
ICMC/USP e UFSCar), São Carlos.

*Palestrante: *Enrico A. Colosimo - Departamento de Estatística, UFMG
(trabalho conjunto com Jose Luiz P. da Silva e Fabio N. Demarqui)

*Título:* Doubly Robust-Based GEE for the Analysis of Longitudinal Ordinal
Missing Data

*Resumo:* Generalized Estimation Equations (GEE) are a well-known method
for the analysis of non-Gaussian longitudinal data. This method has
computational simplicity and population parameter interpretation. However,
in the presence of missing data, it is only valid under the strong
assumption of missing completely at random (MCAR). Some corrections can be
done when the missing data mechanism is missing at random (MAR): inverse
probability weighting (WGEE) and multiple imputation (MIGEE). In order to
obtain consistent estimates, it is necessary the correct speci cation of
the weight model for WGEE or the imputation model for the MIGEE. A recent
method combining ideas of these two approaches has doubly robust property.
For consistency, it requires only the weight or the imputation model to be
correct. In this work it is assumed a proportional odds model and it is
proposed a doubly robust estimator for the analysis of ordinal longitudinal
data with intermittently missing response and covariate under the MAR
mechanism. Simulation results revealed better performance of the proposed
method compared to WGEE and MIGEE. The method is applied to a data set
related to Analgesia Pain in Childbirth study.

*Local: *Sala de Seminários Antiga do Departamento de Estatística UFSCar

*Horário: *16hs*.*


--
Rafael Izbicki
Assistant Professor
Department of Statistics
Federal University of São Carlos (UFSCar)
http://www.rizbicki.ufscar.br/
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