<div><p>This article obtains confidence regions for the heteroscedastic, one-way random effects model’s parameters the heteroscedastic, one-way random effects model. The confidence regions are based on canonical representations of the restricted and profile likelihood functions in terms of independent normal random variables and χ<sup>2</sup> random variables. These regions provide conservative confidence intervals for the common mean and heterogeneity variance. Mathematical details and the R code are available online as supplementary material.</p></div
<p>Supplemental material for Prediction intervals for random-effects meta-analysis: A confidence dis...
<div><p>Construction of confidence intervals or regions is an important part of statistical inferenc...
Moment-based estimators of the between-study variance are very popular when performing random effect...
The DerSimonian-Laird confidence interval for the average treatment effect in meta-analysis is widel...
Meta-regression is becoming increasingly used to model study level covariate effects. However this t...
This study, using the method described by Hartley and Rao [10], derives confidence regions for the r...
One of the main objectives in meta-analysis is to estimate the overall effect size by calculating a ...
Abstract Background Confidence intervals for the betw...
A confidence interval for the between group variance is proposed which is deduced from Wald's exact ...
A confidence interval for the between group variance is proposed which is deduced from Wald's exact ...
We modify the procedure for constructing exact bounds confidence regions introduced by Dufour (1990,...
<p>CI, confidence interval.</p><p>Results of the meta-regression performed to identify potential sou...
The effect sizes of studies included in a meta‐analysis do often not share a common true effect size...
Two methods of quantifying heterogeneity between studies in meta-analysis were studied. One method q...
Moment-based estimators of the between-study variance are very popular when performing random effect...
<p>Supplemental material for Prediction intervals for random-effects meta-analysis: A confidence dis...
<div><p>Construction of confidence intervals or regions is an important part of statistical inferenc...
Moment-based estimators of the between-study variance are very popular when performing random effect...
The DerSimonian-Laird confidence interval for the average treatment effect in meta-analysis is widel...
Meta-regression is becoming increasingly used to model study level covariate effects. However this t...
This study, using the method described by Hartley and Rao [10], derives confidence regions for the r...
One of the main objectives in meta-analysis is to estimate the overall effect size by calculating a ...
Abstract Background Confidence intervals for the betw...
A confidence interval for the between group variance is proposed which is deduced from Wald's exact ...
A confidence interval for the between group variance is proposed which is deduced from Wald's exact ...
We modify the procedure for constructing exact bounds confidence regions introduced by Dufour (1990,...
<p>CI, confidence interval.</p><p>Results of the meta-regression performed to identify potential sou...
The effect sizes of studies included in a meta‐analysis do often not share a common true effect size...
Two methods of quantifying heterogeneity between studies in meta-analysis were studied. One method q...
Moment-based estimators of the between-study variance are very popular when performing random effect...
<p>Supplemental material for Prediction intervals for random-effects meta-analysis: A confidence dis...
<div><p>Construction of confidence intervals or regions is an important part of statistical inferenc...
Moment-based estimators of the between-study variance are very popular when performing random effect...