Description
Synthetic Data Integration.
Description
Regression inference for multiple populations by integrating summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations <arXiv:2106.06835>.
README.md
R package SynDI
Synthetic Data Integration
Overview
Regression inference for multiple populations by integrating summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations \<arXiv:2106.06835>.
Installation
If the devtools package is not yet installed, install it first:
install.packages('devtools')
# install the package from Github:
devtools::install_github('umich-biostatistics/SynDI', build_vignettes = TRUE)
Once installed, load the package:
library(SynDI)
Example Usage
For examples, see the package vignettes:
vignette("SynDI-example-binary")
vignette("SynDI-example-continuous")
Current Suggested Citation
Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations \<arXiv:2106.06835>.