The interpretations of statistical inferences from meta-analyses depend on the degree of heterogeneity in the meta-analyses. Several new indices of heterogeneity in meta-analyses are proposed, and assessed the variation/difference of these indices through a large simulation study. The proposed methods are applied to biomakers of Alzheimer’s disease
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American A...
It is indispensable for any meta-analysis that potential sources of heterogeneity are examined, befo...
Evaluation of important causes of heterogeneity among study results is an important component of any...
The interpretations of statistical inferences from meta-analyses depend on the degree of heterogenei...
The authors evaluated whether there is an excess of statistically significant results in studies of ...
In recent years, meta-analysis has evolved to a critically important field of Statistics, and has si...
Meta-analysis is the quantitative synthesis of information from several studies. It is applicable to...
Random-effects meta-analysis models are commonly applied in combining effect sizes from individual g...
AbstractVariance between studies in a meta-analysis will exist. This heterogeneity may be of clinica...
Heterogeneity in meta-analysis can be caused by chance, methodological or clinical variations betwee...
Paper from the BMJ by Higgins J. P. T. et al Cochrane Reviews have recently started including the q...
To conduct a meta-analysis, one needs to express the results from a set of related studies in terms ...
OBJECTIVE: Alzheimer’s disease (AD) is a leading cause of years lived with disability in older age, ...
Heterogeneity in meta-analysis can be caused by chance, methodological or clinical variations betwee...
In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by me...
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American A...
It is indispensable for any meta-analysis that potential sources of heterogeneity are examined, befo...
Evaluation of important causes of heterogeneity among study results is an important component of any...
The interpretations of statistical inferences from meta-analyses depend on the degree of heterogenei...
The authors evaluated whether there is an excess of statistically significant results in studies of ...
In recent years, meta-analysis has evolved to a critically important field of Statistics, and has si...
Meta-analysis is the quantitative synthesis of information from several studies. It is applicable to...
Random-effects meta-analysis models are commonly applied in combining effect sizes from individual g...
AbstractVariance between studies in a meta-analysis will exist. This heterogeneity may be of clinica...
Heterogeneity in meta-analysis can be caused by chance, methodological or clinical variations betwee...
Paper from the BMJ by Higgins J. P. T. et al Cochrane Reviews have recently started including the q...
To conduct a meta-analysis, one needs to express the results from a set of related studies in terms ...
OBJECTIVE: Alzheimer’s disease (AD) is a leading cause of years lived with disability in older age, ...
Heterogeneity in meta-analysis can be caused by chance, methodological or clinical variations betwee...
In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by me...
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American A...
It is indispensable for any meta-analysis that potential sources of heterogeneity are examined, befo...
Evaluation of important causes of heterogeneity among study results is an important component of any...