se.prop2

This function computes the Price-Bonett standard error of a 2-group
proportion difference using the frequency counts, sample sizes, and
planned number of studies in the meta-analysis. The effect size
estimate and standard error output from this function can be used as
input in the meta.ave.gen, meta.lc.gen,
and meta.lm.gen functions in applications where
compatible proportion differences from a combination of 2-group and
paired-samples studies are used in the meta-analysis.

Implements functions for varying coefficient meta-analysis methods.
These methods do not assume effect size homogeneity. Subgroup effect size
comparisons, general linear effect size contrasts, and linear models of
effect sizes based on varying coefficient methods can be used to describe
effect size heterogeneity. Varying coefficient meta-analysis methods do not
require the unrealistic assumptions of the traditional fixed-effect and
random-effects meta-analysis methods. For details see:
Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

vcmeta

Varying Coefficient Meta-Analysis

Robert J. Calin-Jageman

se.prop2 function

<dl><dt>f1</dt>
<dd>number of participants in group 1 who have the outcome</dd>
<dt>f2</dt>
<dd>number of participants in group 2 who have the outcome</dd>
<dt>n1</dt>
<dd>sample size for group 1</dd>
<dt>n2</dt>
<dd>sample size for group 2</dd>
<dt>m</dt>
<dd>number of studies in planned meta-analysis</dd></dl>

Arguments

Computes the estimate and standard error for a 2-group proportion
difference — se.prop2

<dl>

<dt>f1</dt>
<dd>number of participants in group 1 who have the outcome</dd>


<dt>f2</dt>
<dd>number of participants in group 2 who have the outcome</dd>


<dt>n1</dt>
<dd>sample size for group 1</dd>


<dt>n2</dt>
<dd>sample size for group 2</dd>


<dt>m</dt>
<dd>number of studies in planned meta-analysis</dd>

</dl>

se.prop2: Computes the estimate and standard error for a 2-group proportion difference

Description

Usage

Value

Arguments

References

Examples