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

[dalton.andrade em ufsc.br]

Rafael, 

 Seria possível obter uma cópia da apresentação do prof. Enrico? 

 Obrigado, 

Dalton Andrade 

INE/UFSC 

 Em 19/05/2015 9:51, Rafael Izbicki escreveu: 

> Divulgação da palestra desta semana do Seminário do Programa Interinstitucional de Pós-graduação em Estatística [2] (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 respons
 e 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/ [3]
> 
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> https://lists.ime.usp.br/mailman/listinfo/abe [1]

 

Links:
------
[1] https://lists.ime.usp.br/mailman/listinfo/abe
[2]
http://www.icmc.usp.br/Portal/conteudo/1096/13/interinstitucional-de-pos-graduacao-em-estatistica
[3] http://www.rizbicki.ufscar.br/
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