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. 2020 Apr 26;20:96. doi: 10.1186/s12874-020-00975-3

Table 2.

Methods used for meta-analysis (n = 152)

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%)

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