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.

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Reference manual

install.packages("EvidenceSynthesis")

0.2.3 by Martijn Schuemie, a month ago

https://ohdsi.github.io/EvidenceSynthesis/, https://github.com/OHDSI/EvidenceSynthesis

Report a bug at https://github.com/OHDSI/EvidenceSynthesis/issues

Browse source code at https://github.com/cran/EvidenceSynthesis

Authors: Martijn Schuemie [aut, cre] , Marc A. Suchard [aut] , Observational Health Data Science and Informatics [cph]

Documentation: PDF Manual

Apache License 2.0 license

Imports ggplot2, gridExtra, meta, EmpiricalCalibration, rJava, BeastJar, Cyclops, HDInterval, coda, rlang, methods

Depends on survival

Suggests knitr, rmarkdown, testthat, sn

System requirements: Java version 8 or higher (https://www.java.com/)

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