Criteria for working-correlation-structure selection in GEE: Assessment via simulation


Autoria(s): Hin, Lin-Yee; Carey, Vincent J.; Wang, You-Gan
Data(s)

2007

Resumo

Efficiency of analysis using generalized estimation equations is enhanced when intracluster correlation structure is accurately modeled. We compare two existing criteria (a quasi-likelihood information criterion, and the Rotnitzky-Jewell criterion) to identify the true correlation structure via simulations with Gaussian or binomial response, covariates varying at cluster or observation level, and exchangeable or AR(l) intracluster correlation structure. Rotnitzky and Jewell's approach performs better when the true intracluster correlation structure is exchangeable, while the quasi-likelihood criteria performs better for an AR(l) structure.

Identificador

http://eprints.qut.edu.au/90515/

Publicador

American Statistical Association

Relação

DOI:10.1198/000313007x245122

Hin, Lin-Yee, Carey, Vincent J., & Wang, You-Gan (2007) Criteria for working-correlation-structure selection in GEE: Assessment via simulation. American Statistician, 61(4), pp. 360-364.

Fonte

Science & Engineering Faculty

Palavras-Chave #clustered data #correlation structure #generalized estimating equation #generalized estimating equations #linear-models
Tipo

Journal Article