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. 2018 Jul 4;18:70. doi: 10.1186/s12874-018-0531-9

Table 3.

Meta-analysis of simulated data

Model Method Optimizer Hetero LOR L U Length OR
geneity of CI
GLMM FIM 0.3106 1.5477 1.0513 2.0442 0.9929 4.700646
GLMM RIM 0.3021 1.5446 1.0548 2.0344 0.9796 4.686097
GLMM NCHGN “optim” 1169.0647 35.6833 26.9652 44.4014 17.4362 3.14∗1015
GLMM NCHGN “nlminb” 0.3113 1.5472 1.0502 2.0442 0.994 4.698297
GLMM NCHGN “bobyqa” 0.3113 1.5472 1.0502 2.0442 0.994 4.698297
GLMM NCHGN “newuoa” 0.3113 1.5472 1.0502 2.0442 0.994 4.698297
GLMM NCHGN “uobyqa” 0.3113 1.5472 1.0502 2.0442 0.994 4.698297
GLMM ABNM 0.0160 0.6177 0.4943 0.7411 0.2468 1.854657
FEM 1.4540 1.3671 1.5409 0.1738 4.280201
REM DL 0.3159 1.5469 1.0463 2.0474 1.0011 4.696887
REM REML 0.3921 1.5476 0.9916 2.1035 1.1119 4.700176

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