Table 1 

Validation of statistical procedures. Validation of different statistical procedures using a simulated dataset. Results of MetaDiSc (version 1.4) are compared with those obtained with metan (version 1.86) and metareg (version 1.06) STATA commands. Prior to the analyses, all four cells of all studies were added with 1/2 to avoid division by zero when computing some indices or standard errors. MetaDiSc and STATA dataset are provided as additional files [see 1] and [see 2]. 

Results 



Procedure 
MetaDiSc (version 1.4) 
STATA (ver 8.2) 


Random Effect Model 

Pooled +ve LR 
2.447 
2.447 
(95%(CI) 
(2.085 – 2.871) 
(2.085 – 2.871) 
Tausquare 
0.0932 
0.0932 
CochraneQ 
139.71 
139.71 
Pooled ve LR 
0.157 
0.157 
(95%(CI) 
(0.095 – 0.257) 
(0.095 – 0.257) 
Tausquare 
0.4631 
0.46357 
CochraneQ 
33.00 
33.07 
Fixed Effect Model 

Pooled +ve LR 
2.330 
2.330 
(95%(CI) 
(2.208 – 2.459) 
(2.208 – 2.459) 
CochraneQ 
139.71 
139.71 
Pooled ve LR 
0.105 
0.104 
(95%(CI) 
(0.073 – 0.149) 
(0.073 – 0.148) 
CochraneQ 
33.00 
33.07 
MetaRegression^{1} 

TauSquare 
0.1141 
0.1141 
Constant coefficient (SE) 
2.520 (0.8370) 
2.5197 (0.83699) 
S coefficient (SE) 
0.330 (0.1912) 
0.3304 (0.19123) 
Covariable coefficient (SE) 
0.036 (0.0904) 
0.0355 (0.09041) 


(1) Metaregression was weighted by the inverse of the variance of dOR and between study variance was estimated by REML. 

Zamora et al. BMC Medical Research Methodology 2006 6:31 doi:10.1186/14712288631 