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appraise  

Bias-Aware Evidence Synthesis in Systematic Reviews
View on CRAN: Click here


Download and install appraise package within the R console
Install from CRAN:
install.packages("appraise")

Install from Github:
library("remotes")
install_github("cran/appraise")

Install by package version:
library("remotes")
install_version("appraise", "0.1.1")



Attach the package and use:
library("appraise")
Maintained by
Conrad Kabali
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-09
Latest Update: 2026-02-09
Description:
Implements a bias-aware framework for evidence synthesis in systematic reviews and health technology assessments, as described in Kabali (2025) <doi:10.1111/jep.70272>. The package models study-level effect estimates by explicitly accounting for multiple sources of bias through prior distributions and propagates uncertainty using posterior simulation. Evidence across studies is combined using posterior mixture distributions rather than a single pooled likelihood, enabling probabilistic inference on clinically or policy-relevant thresholds. The methods are designed to support transparent decision-making when study relevance and bias vary across the evidence base.
How to cite:
Conrad Kabali (2026). appraise: Bias-Aware Evidence Synthesis in Systematic Reviews. R package version 0.1.1, https://cran.r-project.org/web/packages/appraise. Accessed 26 Jun. 2026.
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