Synthetic Data Integration

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 .

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>.