Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study

Table 5 Meta-analysis of diuretics in pre-eclampsia

Model	Method	Hetero	L	U	LOR	L	U	Length	OR	L	U
		geneity						of CI
GLMM	FIM	0.254			-0.513	-0.923	-0.104	0.819	0.599	0.398	0.901
GLMM	RIM	0.264			-0.516	-0.930	-0.102	0.828	0.597	0.395	0.903
GLMM	NCHGN	0.260	−0.147(0)	0.667	-0.513	-0.927	-0.100	0.827	0.599	0.396	0.905
GLMM	ABNM	0.165			-0.434	-0.777	-0.091	0.686	0.648	0.460	0.913
FEM					-0.398	-0.573	-0.223	0.530	0.672	0.564	0.800
REM	DL	0.230	0.072	2.202	-0.517	-0.916	-0.117	0.799	0.596	0.400	0.889
REM	REML	0.300	0.043	1.475	-0.518	-0.956	-0.080	0.876	0.596	0.384	0.923

Estimates and confidence intervals (CIs) for the heterogeneity parameter τ², for the overall log-odds-ratio (LOR) and for the overall odds ratios (OR); GLMM is the generalized linear mixed model, REM is the random-effects model and FEM is the fixed-effect model. L and U are the lower and upper limits of the respective 95% confidence intervals

ISSN: 1471-2288