Table 2.
Methods available in Meta-Analyst
| Fixed | Random | Bayes | ||||
|---|---|---|---|---|---|---|
| IV* | MH | Peto | DL | EM† | ||
| Binary outcomes | ||||||
| Odds ratio (OR) | √ | √ | √ | √ | √ | √‡ |
| Risk ratio (RR) | √ | √ | - | √ | √ | √‡ |
| Risk difference (RD) | √ | √ | - | √ | √ | √‡ |
| Proportion** | √ | - | - | √ | √ | √‡ |
| Continuous outcomes | - | - | ||||
| WMD | √ | - | - | √ | √ | √‡ |
| Hedge's g | √ | - | - | √ | √ | √‡ |
| Cohen's d | √ | - | - | √ | √ | √‡ |
| Glass' δ | √ | - | - | √ | √ | √‡ |
| Mean** | √ | - | - | √ | √ | √‡ |
| Diagnostic test data | - | - | ||||
| Specificity | √ | - | - | √ | √ | √‡ |
| Sensitivity | √ | - | - | √ | √ | √‡ |
| Accuracy | √ | - | - | √ | √ | √‡ |
| Positive predictive value (PPV) | √ | - | - | √ | √ | √‡ |
| Negative predictive value (NPV) | √ | - | - | √ | √ | √‡ |
| Positive likelihood ratio | √ | √ | - | √ | √ | √‡ |
| Positive likelihood ratio | √ | √ | - | √ | √ | √‡ |
| Diagnostic odds ratio | √ | √ | - | √ | √ | √‡ |
| Summary ROC curve | [weighted, unweighted] | [weighted] | ||||
| Bivariate | --- | - | √ | |||
| Hierarchical SROC | - | - | √ | |||
*Fixed effects meta-regression using weighted least squares is available here if there is at least one numerical covariate.
†Random effects meta-regression using an expectation maximization approach is available here if there is at least one numerical covariate.
‡Control rate meta-regression (linear or quadratic) is possible here (with or without adjusting for additional covariates, as deemed appropriate).
** e.g., for the meta-analysis of data from single arm studies.
- = not applicable, √ = available, DL: DerSimonian and Laird model, EM = Expectation-maximization, IV = inverse variance, MH: Mantel-Haenszel method, ROC = Receiver operating characteristic curve