meta.lc.mean1

Computes the estimate, standard error, and confidence interval for a
linear contrast of means from two or more studies. This function will
use either an unequal variance (recommended) or an equal variance method.
A Satterthwaite adjustment to the degrees of freedom is used with the
unequal variance method.

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

meta.lc.mean1 function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>m</dt>
<dd>vector of estimated means</dd>
<dt>sd</dt>
<dd>vector of estimated standard deviations</dd>
<dt>n</dt>
<dd>vector of sample sizes</dd>
<dt>v</dt>
<dd>vector of contrast coefficients</dd>
<dt>eqvar</dt>
<dd><ul>
<li>FALSE for unequal variance method</li>
<li>TRUE for equal variance method</li>
</ul></dd></dl>

Arguments

Confidence interval for a linear contrast of means — meta.lc.mean1

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>m</dt>
<dd>vector of estimated means</dd>


<dt>sd</dt>
<dd>vector of estimated standard deviations</dd>


<dt>n</dt>
<dd>vector of sample sizes</dd>


<dt>v</dt>
<dd>vector of contrast coefficients</dd>


<dt>eqvar</dt>
<dd><ul>
<li>FALSE for unequal variance method</li>
<li>TRUE for equal variance method</li>
</ul></dd>

</dl>

meta.lc.mean1: Confidence interval for a linear contrast of means

Description

Usage

Value

Arguments

References

Examples