Contents
What is pooled meta-analysis?
A pooled analysis is a statistical technique for combining the results of multiple epidemiological studies. It is one of three types of literature reviews frequently used in epidemiology, along with meta-analysis and traditional narrative reviews. Pooled analyses may be either retrospective or prospective.
What is a proportional meta-analysis?
This function enables you to calculate an overall proportion from a set of proportions, for example from a systematic review of studies of adherence with a particular drug treatment.
What is a pooled effect?
The pooled effect under meta-analysis is weighted average of the study level effect sizes. The only thing which differs in various synthesizing methods is the calculation of weights and how these weights incorporate between study heterogeneity.
What are the results of a meta-analysis?
See Meta-analysis: introduction for interpretation of the different publication bias tests. The results of the different studies, with 95% CI, and the pooled proportions with 95% CI are shown in a forest plot: Borenstein M, Hedges LV, Higgins JPT, Rothstein HR (2009) Introduction to meta-analysis.
How to do a proportion meta-analysis in Excel?
The data of different studies can be entered as follows in the spreadsheet: The dialog box for “Meta-analysis: proportion” can then be completed as follows: Studies: a variable containing an identification of the different studies. Total number of cases: a variable containing the total number of cases in the different studies.
How are number of positive cases used in a meta-analysis?
Number of positive cases: a variable containing the number of positive cases in the different studies. A filter to include only a selected subgroup of studies in the meta-analysis. Filter: a filter to include only a selected subgroup of cases in the graph. Forest plot: creates a forest plot.
How to plot pooled effects in a forest plot?
Plot pooled effect – random effect model: option to include the pooled effect under the random effects model in the forest plot. Diamonds for pooled effects: option to represent the pooled effects using a diamond (the location of the diamond represents the estimated effect size and the width of the diamond reflects the precision of the estimate).
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