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integrity  

Assessing the Integrity and Trustworthiness of Clinical Trials Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("integrity", "1.0.1")



Attach the package and use:
library("integrity")
Maintained by
Dario Strbenac
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-08
Latest Update: 2026-04-08
Description:
Sixteen individual participant data-specific checks in a report-style result. Items are automated where possible, and are grouped into eight domains, including unusual data patterns, baseline characteristics, correlations, date violations, patterns of allocation, internal and external inconsistencies, and plausibility of data. The package may be applied by evidence synthesists, editors, and others to determine whether a randomised controlled trial may be considered trustworthy to contribute to the evidence base that informs policy and practice. For more details, see Hunter et al. (2024) <doi:10.1002/jrsm.1738> and <doi:10.32614/RJ-2017-008> in the same issue of Research Synthesis Methods.
How to cite:
Dario Strbenac (2026). integrity: Assessing the Integrity and Trustworthiness of Clinical Trials Data. R package version 1.0.1, https://cran.r-project.org/web/packages/integrity. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-10-20 15:20), 1.0.1 (2026-05-26 12:10), 1.0.2 (2026-10-19 11:00), 1.0 (2026-04-08 16:00)
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Complete documentation for integrity
Functions, R codes and Examples using the integrity R package
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