Table 2.

Results for the topical antibiotics data using importance sampling, MCMC in OpenBUGS and REML estimation. Estimates are log odds ratios

		Parameter	Estimate	SD	MCSE	2.5 %	50 %	97.5 %
Importance	B: Quinolone	δ AB	-1.85	0.62	0.0012	-3.18	-1.82	-0.69
sampling	C: Non-quinolone	δ AC	-1.31	0.71	0.0014	-2.78	-1.29	0.03
	D: Antiseptic	δ AD	-0.64	0.65	0.0013	-2.01	-0.62	0.60
	Heterogeneity	${\tau }_{\beta }^2$	0.28	0.31	0.0006	0.01	0.18	1.09
	Inconsistency	${\tau }_{\omega }^2$	0.22	0.38	0.0007	0.00	0.08	1.20
MCMC	B: Quinolone	δ AB	-1.85	0.62	0.0052	-3.15	-1.82	-0.68
	C: Non-quinolone	δ AC	-1.30	0.71	0.0061	-2.77	-1.28	0.04
	D: Antiseptic	δ AD	-0.64	0.65	0.0053	-1.99	-0.62	0.61
	Heterogeneity	${\tau }_{\beta }^2$	0.28	0.31	0.0017	0.01	0.18	1.09
	Inconsistency	${\tau }_{\omega }^2$	0.22	0.38	0.0030	0.00	0.08	1.19
		Parameter	Estimate	SE	CI lower	CI upper	p-value
REML	B: Quinolone	δ AB	-1.97	0.68	-3.30	-0.65	<0.01
estimation	C: Non-quinolone	δ AC	-1.40	0.81	-2.98	0.18	0.08
	D: Antiseptic	δ AD	-0.66	0.72	-2.07	0.75	0.36
	Heterogeneity	${\tau }_{\beta }^2$	0.10	–	0.00	1.67	–
	Inconsistency	${\tau }_{\omega }^2$	0.54	–	0.00	3.96	–