Table 1 Summary of the procedures available in metaprop

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.

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.

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.

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.