Visual representations of meta-analyses of multiple outcomes: Extensions to forest plots, funnel plots, and caterpillar plots
نویسندگان
چکیده
منابع مشابه
Funnel plots in meta-analysis
Funnel plots are a visual tool for investigating publication and other bias in meta-analysis. They are simple scatterplots of the treatment effects estimated from individual studies (horizontal axis) against a measure of study size (vertical axis). The name “funnel plot” is based on the precision in the estimation of the underlying treatment effect increasing as the sample size of component stu...
متن کاملMeta-analysis, funnel plots and sensitivity analysis.
Publication bias is a major problem, perhaps the major problem, in meta-analysis (or systematic reviews). Small studies are more likely to be published if their results are 'significant' than if their results are negative or inconclusive, and so the studies available for review are biased in favour of those with positive outcomes. Correcting for this bias is not possible without making untestab...
متن کاملAsymmetric funnel plots and publication bias in meta-analyses of diagnostic accuracy.
BACKGROUND Despite the great possibility of publication bias in studies of diagnostic test research, empirical studies about publication bias have mainly focused on studies of treatment effect. METHODS A sample of 28 meta-analyses of diagnostic accuracy was selected from the Database of Abstracts of Reviews of Effectiveness (DARE). Methods used to deal with publication and related biases in t...
متن کاملUsing funnel plots in public health surveillance
BACKGROUND Public health surveillance is often concerned with the analysis of health outcomes over small areas. Funnel plots have been proposed as a useful tool for assessing and visualizing surveillance data, but their full utility has not been appreciated (for example, in the incorporation and interpretation of risk factors). METHODS We investigate a way to simultaneously focus funnel plot ...
متن کاملFunnel plots for comparing institutional performance.
'Funnel plots' are recommended as a graphical aid for institutional comparisons, in which an estimate of an underlying quantity is plotted against an interpretable measure of its precision. 'Control limits' form a funnel around the target outcome, in a close analogy to standard Shewhart control charts. Examples are given for comparing proportions and changes in rates, assessing association betw...
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ژورنال
عنوان ژورنال: Methodology
سال: 2020
ISSN: 1614-2241
DOI: 10.5964/meth.4013