Criteria for working-correlation-structure selection in GEE: Assessment via simulation
Data(s) |
2007
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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 | |
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 |