This is the official repository of the R package metamisc, which was developed to facilitate meta-analysis of diagnosis and prognosis research studies. The package includes functions for the following tasks:
- To develop and validate multivariable prediction models from datasets with clustering (de Jong et al., 2021)
- To summarize multiple estimates of prediction model discrimination and calibration performance (Debray et al., 2019)
- To evaluate funnel plot asymmetry (Debray et al., 2018)
The metamisc package can be installed from CRAN as follows:
install.packages("metamisc")You can install the development version of metamisc from GitHub with:
# install.packages("devtools")
devtools::install_github("smartdata-analysis-and-statistics/metamisc")A visual interface to the software has been implemented by JASP https://jasp-stats.org/
de Jong VMT, Moons KGM, Eijkemans MJC, Riley RD, Debray TPA. Developing more generalizable prediction models from pooled studies and large clustered data sets. Stat Med. 2021 May 5;40(15):3533–59.
Debray TPA, Moons KGM, Riley RD. Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: a comparison of new and existing tests. Res Syn Meth. 2018;9(1):41–50.
Debray TPA, Damen JAAG, Riley R, Snell KIE, Reitsma JB, Hooft L, et al. A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes. Stat Methods Med Res. 2019 Sep;28(9):2768–86.
