Assessing the Integrity and Trustworthiness of Clinical Trials Data

The integrity package implements the IPD Integrity Tool, a structured and transparent framework for evaluating the integrity of individual participant data (IPD) from randomised trials (see Hunter et al. (2024) and ). It supports users to identify potential issues, such as unusual data patterns, implausible values, lack of expected correlations, date violations, and inconsistencies. The package provides reproducible workflows for screening, documenting and summarising integrity concerns, and may be applied by evidence synthesists, editors, and others to determine whether a randomised trial may be considered sufficiently trustworthy to contribute to the evidence base that informs policy and practice.


CPCDASH0010

Development of an R Package for IPD Integrity

Reference manual

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install.packages("integrity")

1.0.1 by Sol Libesman, 5 months ago


https://github.sydney.edu.au/Charles-Perkins-Centre-Data-Science-Hub/CPCDASH0010


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


Authors: Sol Libesman [aut, cre] , Kylie Hunter [aut] , David Nguyen [aut] , Dario Strbenac [aut] , Anne Lene Seidler [aut] , Jie Kang [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, dplyr, janitor, gtsummary, ggpubr, lubridate, car, rlang

Suggests knitr, pkgload, readxl, rmarkdown, testthat, yaml


See at CRAN