Add to ORKG2. 公表論文 (1) Consistent selection of working correlation structure in GEE analysis based on Stein's loss function, S. Imori, Hiroshima Mathematical Journal (2014), to appear
Research work undertaken in the subject of model selection for generalized linear models with factor...
SUMMARY. We consider the problem of selecting the fixed and random effects in a mixed linear model. ...
<p>Generalized Linear Models indicating the predictors for each measure of model performance.</p
The method of generalized estimating equations models the association between the repeated observati...
Criteria for generalized linear model selection based on Kullback's symmetric divergenc
Longitudinal data analysis is common in biomedical research area. Generalized estimating equations (...
The Generalized Estimating Equations (GEE) method is one of the most commonly used statistical metho...
Efficiency of analysis using generalized estimation equations is enhanced when intracluster correlat...
The generalized estimating equation (GEE) approach is a widely used statistical method in the analys...
The generalized estimating equation (GEE) approach is a widely used statistical method in the analys...
The generalized estimating equation (GEE) approach is a widely used statistical method in the analys...
Selecting an appropriate correlation structure in analyzing longitudinal data can greatly improve th...
Selecting an appropriate correlation structure in analyzing longitudinal data can greatly improve th...
Generalized estimating equations (GEE) incorporate a working correlation structure that is important...
In this paper, we extend to generalized linear models the robust model selection methodology of Müll...
Research work undertaken in the subject of model selection for generalized linear models with factor...
SUMMARY. We consider the problem of selecting the fixed and random effects in a mixed linear model. ...
<p>Generalized Linear Models indicating the predictors for each measure of model performance.</p
The method of generalized estimating equations models the association between the repeated observati...
Criteria for generalized linear model selection based on Kullback's symmetric divergenc
Longitudinal data analysis is common in biomedical research area. Generalized estimating equations (...
The Generalized Estimating Equations (GEE) method is one of the most commonly used statistical metho...
Efficiency of analysis using generalized estimation equations is enhanced when intracluster correlat...
The generalized estimating equation (GEE) approach is a widely used statistical method in the analys...
The generalized estimating equation (GEE) approach is a widely used statistical method in the analys...
The generalized estimating equation (GEE) approach is a widely used statistical method in the analys...
Selecting an appropriate correlation structure in analyzing longitudinal data can greatly improve th...
Selecting an appropriate correlation structure in analyzing longitudinal data can greatly improve th...
Generalized estimating equations (GEE) incorporate a working correlation structure that is important...
In this paper, we extend to generalized linear models the robust model selection methodology of Müll...
Research work undertaken in the subject of model selection for generalized linear models with factor...
SUMMARY. We consider the problem of selecting the fixed and random effects in a mixed linear model. ...
<p>Generalized Linear Models indicating the predictors for each measure of model performance.</p