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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.
Getting started
Package overview
README.md
Bayesian adaptive bias correction using profile likelihoods
Code used in the video vignette
Effect estimate using non-normal likelihood approximations
Bayesian adaptive bias correction using profile likelihoods"
Code used in the video vignette"
Effect estimate synthesis using non-normal likelihood approximations"
Browse package contents
Package details |
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| Author | Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Fan Bu [aut], Observational Health Data Science and Informatics [cph] |
| Maintainer | Martijn Schuemie <schuemie@ohdsi.org> |
| License | Apache License 2.0 |
| Version | 0.5.0 |
| URL | https://ohdsi.github.io/EvidenceSynthesis/ https://github.com/OHDSI/EvidenceSynthesis |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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