plot.uvmeta

Function to create forest plots for objects of class <code>"uvmeta"</code>.

Meta-analysis

forest

Facilitate frequentist and Bayesian meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance (Debray et al., 2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry (Debray et al., 2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering (de Jong et al., 2021) <doi:10.1002/sim.8981>.

Thomas Debray

metamisc

Meta-Analysis of Diagnosis and Prognosis Research Studies

Valentijn de Jong

plot.uvmeta function

<dl><dt>x</dt>
<dd>An object of class <code>"uvmeta"</code></dd>
<dt>sort</dt>
<dd>By default, studies are ordered by ascending effect size (<code>sort="asc"</code>). For study ordering by descending
effect size, choose <code>sort="desc"</code>. For any other value, study ordering is ignored.</dd>
<dt>...</dt>
<dd>Additional arguments which are passed to forest.</dd></dl>

Arguments

Thomas Debray &lt;thomas.debray@gmail.com&gt;

Author

Forest Plots — plot.uvmeta

<dl>

<dt>x</dt>
<dd>An object of class <code>"uvmeta"</code></dd>


<dt>sort</dt>
<dd>By default, studies are ordered by ascending effect size (<code>sort="asc"</code>). For study ordering by descending
effect size, choose <code>sort="desc"</code>. For any other value, study ordering is ignored.</dd>


<dt>...</dt>
<dd>Additional arguments which are passed to forest.</dd>

</dl>

plot.uvmeta: Forest Plots

Description

Usage

Arguments

Author

Details

References

Examples