Random effects meta‐analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T Stijnen, TH Hamza, P Özdemir - Statistics in medicine, 2010 - Wiley Online Library
We consider random effects meta‐analysis where the outcome variable is the occurrence of
some event of interest. The data structures handled are where one has one or more groups …
被引用次数：614 相关文章

[引用][C] Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T Stijnen, TH Hamza, P Özdemir - Statistics in Medicine, 2010 - cir.nii.ac.jp
Random effects meta-analysis of event outcome in the framework of the generalized linear
mixed model with applications in sparse data | CiNii Research CiNii 国立情報学研究所 学術 …

Random effects meta‐analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T Stijnen, TH Hamza, P Özdemir - Statistics in Medicine, 2010 - infona.pl
We consider random effects meta‐analysis where the outcome variable is the occurrence of
some event of interest. The data structures handled are where one has one or more groups …

Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T Stijnen, T Hamza, P Özdemir - STATISTICS IN MEDICINE, 2010 - avesis.hacettepe.edu.tr
We consider random effects meta-analysis where the outcome variable is the occurrence of
some event of interest. The data structures handled are where one has one or more groups …

Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T Stijnen, TH Hamza, P Ozdemir - Statistics in …, 2010 - scholarlypublications …
We consider random effects meta-analysis where the outcome variable is the occurrence of
some event of interest. The data structures handled are where one has one or more groups …

Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T Stijnen, TH Hamza, P Ozdemir - Statistics in medicine, 2010 - pubmed.ncbi.nlm.nih.gov
We consider random effects meta-analysis where the outcome variable is the occurrence of
some event of interest. The data structures handled are where one has one or more groups …

Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data.

T Stijnen, TH Hamza, P Ozdemir - Statistics in Medicine, 2010 - europepmc.org
We consider random effects meta-analysis where the outcome variable is the occurrence of
some event of interest. The data structures handled are where one has one or more groups …

Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T Stijnen, TH Hamza, P Ozdemir - 2010 - aperta.ulakbim.gov.tr
We consider random effects meta-analysis where the outcome variable is the occurrence of
some event of interest. The data structures handled are where one has one or more groups …

Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T Stijnen, TH Hamza, P Ozdemir - 2010 - aperta.ulakbim.gov.tr
We consider random effects meta-analysis where the outcome variable is the occurrence of
some event of interest. The data structures handled are where one has one or more groups …

[引用][C] Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data

T STIJNEN, TH HAMZA, P ÖZDEMIR - Statistics in medicine, 2010 - Wiley