EHR: Electronic Health Record (EHR) Data Processing and Analysis Tool

Process and analyze Electronic Health Record (EHR) data. Frequency and contingency tables for many binary outcomes and a binary exposure variable can be generated more efficiently. Phenome Wide Association Study (PheWAS) performed using EHR data can be analyzed using three commonly used statistical analysis methods: Firth's penalized-likelihood logistic regression; logistic regression with likelihood ratio test; conventional logistic regression with Wald test.

Version: 0.1-3
Depends: R (≥ 2.10)
Imports: stats, utils, logistf
Suggests: glmnet
Published: 2017-10-20
Author: Leena Choi [aut, cre], Cole Beck [aut]
Maintainer: Leena Choi <naturechoi at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: EHR results

Downloads:

Reference manual: EHR.pdf
Package source: EHR_0.1-3.tar.gz
Windows binaries: r-devel: EHR_0.1-3.zip, r-release: EHR_0.1-3.zip, r-oldrel: EHR_0.1-3.zip
OS X El Capitan binaries: r-release: EHR_0.1-3.tgz
OS X Mavericks binaries: r-oldrel: EHR_0.1-3.tgz

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