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Table 2 Methods used for meta-analysis (n = 152)

From: How are systematic reviews of prevalence conducted? A methodological study

Characteristic

Description

Methods approach

Classic: 151 (99.3%)

Bayesian: 1 (0.7%)

Modela

Random-effects: 141 (93.4%)

Fixed-effects: 7 (4.6%)

Other: 2 (1.3%)

Not reported: 7 (4.6%)

Variance estimator (for random-effect metanalysis,n = 141)

DerSimonian and Laird: 30 (21.3%)

Hartung-Knapp-Sidik-Jonkman: 4 (2.8%)

Restricted maximum-likelihood: 1 (0.7%)

Not reported: 106 (75.2%)

Transformation

Freeman-Tukey double arcsine: 32 (21.1%)

Logit: 5 (3.3%)

Log: 4 (2.6%)

Raw: 2 (1.3%)

Arcsine: 1 (0.7%)

Arcsine square roots: 1 (0.7%)

Not reported: 107 (70.4%)

Heterogeneity assessmenta

Subgroup analysis: 89 (58.6%)

Meta-regression: 57 (37.5%)

I2: 144 (94.7%)

Galbraith plot: 4 (2.6%)

Other (eg. influence analysis, outliers): 54 (35.5%)

Publication bias

Begg’s test: 26 (17.1%)

Egger test: 54 (35.5%)

Funnel plot: 56 (36.8%)

Doi plot: 4 (2.6%)

Trim and fill: 7 (4.6%)

LFK index: 4 (2.6%)

Not reported: 79 (52.0%)

Prediction interval

Yes: 3 (2.0%)

Not reported: 149 (98.0%)

Softwarea

STATA: 83 (54.6%)

R: 29 (19.1%)

Comprehensive Meta-analysis: 14 (9.2%)

MetaXL: 11 (7.2%)

MedCalc: 5 (3.3%)

Review Manager: 3 (2.0%)

Open Metanalyst: 3 (2.0%)

StatsDirect: 3 (2.0%)

MedScale: 1 (0.7%)

Not reported: 5 (3.3%)

  1. aAdds to more than 100% because some reviews were counted in more than one option