From: Metaprop: a Stata command to perform meta-analysis of binomial data
Option in metaprop | Description | Strength | Remarks |
---|---|---|---|
cimethod (score) | Computes the study specific confidence intervals using the score method. | Study specific intervals always yield admissible values (within the limits of 0 and 1). | The Wald confidence intervals for the pooled estimate could be inadmissible if study specific estimates are on or close to the margin. |
The coverage probability of the study specific confidence intervals are close to the nominal level. | |||
cimethod (exact) | Computes the study specific confidence intervals using exact method | Study specific intervals always yield admissible values | More conservative method and therefore study specific confidence intervals tend to be too wide. |
The Wald confidence intervals for the pooled estimate could be inadmissible if study specific estimates are on or close to the margin. | |||
ftt | Performs the Freeman-tukey double arcsine transformation, computes the weighted pooled estimate and performs the back-transformation on the pooled estimate. | The confidence intervals for the pooled estimate are always admissible. Test of significance based on Normal approximation more applicable than without the transformation. | The procedure could break-down in case of extremely sparse data. |
logit | Uses the Binomial distribution to model the within-study variability. | The confidence intervals for the study-specific estimate and pooled estimate are always admissible. | Requires metaprop_one available for Stata 13 or later versions. |
It is an iterative procedure and therefore it requires more computational time than non-iterative procedures. |