Meta-analysis of the performance or coefficients of a metapred object.
Caution: it is still under development.

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

ma function

<dl><dt>object</dt>
<dd>A model fit object, such as metapred object.</dd>
<dt>method</dt>
<dd>Character, method for meta-analysis passed to valmeta and uvmeta.
Defaults to "REML".</dd>
<dt>...</dt>
<dd>Other arguments passed to metapred, valmeta and uvmeta.</dd></dl>

Arguments

Author

Random effects meta-analysis — ma

<dl>

<dt>object</dt>
<dd>A model fit object, such as metapred object.</dd>


<dt>method</dt>
<dd>Character, method for meta-analysis passed to valmeta and uvmeta.
Defaults to "REML".</dd>


<dt>...</dt>
<dd>Other arguments passed to metapred, valmeta and uvmeta.</dd>

</dl>

ma: Random effects meta-analysis

Description

Usage

Arguments

Author

Details