se.propratio2

Computes the Price-Bonett standard error of a 2-group proportion ratio using
the frequency count and sample size for each group. The log proportion ratio
and standard error output from this function can be used as input in the
meta.ave.gen.log function in applications where compatible
proportion ratios from a combination of 2-group and paired-samples studies
are used in the meta-analysis. If the proportions in each group are small
(less than .1), proportion ratios may be compatible with odds ratios and
then the meta.ave.gen.log function could be used to
meta-analyze any combination of log proportion ratios and log odds ratios.

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.propratio2 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></dl>

Arguments

Computes the estimate and standard error for a 2-group log proportion ratio — se.propratio2

<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>

</dl>

se.propratio2: Computes the estimate and standard error for a 2-group log proportion ratio

Description

Usage

Value

Arguments

References

Examples