Roberts

Data frame with summary data from 14 comparative studies.

datasets

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

Roberts function

One data frame with 2 variables.<dl>
 <dt>SDM</dt>
<dd>Effect sizes (standardized differences in means)</dd>
 
 <dt>SE</dt>
<dd>Standard error of the effect sizes</dd>
 
 
</dl>

Roberts: Roberts data

Description

Usage

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Details