Learn R Programming

metawho

The goal of metawho is to provide simple R implementation of “Meta-analytical method to Identify Who Benefits Most from Treatments” (called ‘deft’ approach, see reference #2).

metawho is powered by R package metafor and does not support dataset contains individuals for now. Please use stata package ipdmetan if you are more familar with stata code.

Installation

You can install the development version of metawho from GitHub with:

remotes::install_github("ShixiangWang/metawho")

Or install stable release from CRAN.

References

If you use this package in academic field, please cite the following papers:

  • Wang, Shixiang, et al. “The predictive power of tumor mutational burden in lung cancer immunotherapy response is influenced by patients’ sex.” International journal of cancer (2019).
  • Fisher, David J., et al. “Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?.” bmj 356 (2017): j573.

Copy Link

Version

Install

install.packages('metawho')

Monthly Downloads

178

Version

0.2.0

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Shixiang Wang

Last Published

December 6th, 2019

Functions in metawho (0.2.0)

tidyeval

Tidy eval helpers
deft_prepare

Prepare log transformation data for effect size estimation according to confidence level and distribution
wang2019

Hazard ratio (HR) for disease progression analysis comparing TMB-high with TMB-low in three NSCLC datasets
deft_show

Show deft result
%>%

Pipe operator
deft_do

Implement deft method