Assay sensitivity has been proposed as a criterion for including psychiatric clinical outcome studies in meta-analyses. The authors assess the performance of assay sensitivity as a method for determining study appropriateness for meta-analysis by calculating expected standard drug vs placebo eect sizes for various combinations of high quality and awed studies. In the absence of awed studies, expected eect sizes are close to unbiased only when sample sizes are very large. In the presence of awed studies, expected eect sizes tend to be substantially biased except under simultaneous conditions of high power, a large proportion of awed studies, and a population standard vs placebo eect size of awed studies considerably lower than that of high q...
In studies of diagnostic test accuracy, authors sometimes report results only for a range of cutoff ...
<div><h3>Background</h3><p>Indirect comparisons of competing treatments by network meta-analysis (NM...
Subgroup analysis is frequently used to investigate heterogeneity in meta-analysis. Subgroup data ar...
The author examines two questions: (1) Should “assay sensitivity” be used to determine the appropria...
Background: There are both theoretical and empirical reasons to believe that design and execution fa...
Background\ud There are both theoretical and empirical reasons to believe that design and execution ...
BackgroundThere are both theoretical and empirical reasons to believe that design and execution fact...
Publication bias is a substantial problem for the credibility of research in general and of meta-ana...
Publication bias is a substantial problem for the credibility of research in general and of meta-ana...
Publication bias is a substantial problem for the credibility of research in general and of meta-ana...
Meta-analysis is the statistical method for synthesizing studies on the same topic and is often used...
Publication bias poses a threat to the validity of meta-analytic reviews, as it can lead to summary...
International audienceABSTRACT: BACKGROUND: Network meta-analysis (NMA), a generalization of convent...
Meta-analyses of diagnostic test accuracy are uncommon and often based on separate pooling of sensit...
Summary. A common conjecture in the study of publication bias is that studies reporting a significa...
In studies of diagnostic test accuracy, authors sometimes report results only for a range of cutoff ...
<div><h3>Background</h3><p>Indirect comparisons of competing treatments by network meta-analysis (NM...
Subgroup analysis is frequently used to investigate heterogeneity in meta-analysis. Subgroup data ar...
The author examines two questions: (1) Should “assay sensitivity” be used to determine the appropria...
Background: There are both theoretical and empirical reasons to believe that design and execution fa...
Background\ud There are both theoretical and empirical reasons to believe that design and execution ...
BackgroundThere are both theoretical and empirical reasons to believe that design and execution fact...
Publication bias is a substantial problem for the credibility of research in general and of meta-ana...
Publication bias is a substantial problem for the credibility of research in general and of meta-ana...
Publication bias is a substantial problem for the credibility of research in general and of meta-ana...
Meta-analysis is the statistical method for synthesizing studies on the same topic and is often used...
Publication bias poses a threat to the validity of meta-analytic reviews, as it can lead to summary...
International audienceABSTRACT: BACKGROUND: Network meta-analysis (NMA), a generalization of convent...
Meta-analyses of diagnostic test accuracy are uncommon and often based on separate pooling of sensit...
Summary. A common conjecture in the study of publication bias is that studies reporting a significa...
In studies of diagnostic test accuracy, authors sometimes report results only for a range of cutoff ...
<div><h3>Background</h3><p>Indirect comparisons of competing treatments by network meta-analysis (NM...
Subgroup analysis is frequently used to investigate heterogeneity in meta-analysis. Subgroup data ar...