EvidenceSynthesis: Synthesizing Causal Evidence in a Distributed Research Network

Routines for combining causal effect estimates and study diagnostics across multiple data sites in a distributed study, without sharing patient-level data. Allows for normal and non-normal approximations of the data-site likelihood of the effect parameter.

Version: 1.1.0
Depends: survival, R (≥ 4.1.0)
Imports: dplyr, ggplot2 (≥ 4.0.0), ggdist, gridExtra, meta, EmpiricalCalibration, rJava, BeastJar (≥ 10.5.1), Cyclops (≥ 3.6.0), HDInterval, coda, rlang, methods
Suggests: knitr, rmarkdown, testthat, sn, tidyr
Published: 2025年10月15日
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Fan Bu [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie at ohdsi.org>
NeedsCompilation: no
SystemRequirements: Java (>= 8)
Materials: README, NEWS
In views: MetaAnalysis

Documentation:

Downloads:

Windows binaries: r-devel: EvidenceSynthesis_1.1.0.zip, r-release: EvidenceSynthesis_1.1.0.zip, r-oldrel: EvidenceSynthesis_1.1.0.zip
macOS binaries: r-release (arm64): EvidenceSynthesis_1.1.0.tgz, r-oldrel (arm64): EvidenceSynthesis_1.1.0.tgz, r-release (x86_64): EvidenceSynthesis_1.1.0.tgz, r-oldrel (x86_64): EvidenceSynthesis_1.1.0.tgz

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