Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data

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

ISSN: 1471-2288