J&J Innovative Medicine ADaM Test Data

A set of Analysis Data Model (ADaM) datasets constructed by modifying the ADaM datasets in the 'pharmaverseadam' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.

pharmaverseadamjnj

Generate ADaM datasets aligned with Johnson & Johnson's Clinical and Statistical Programming standards.

Features

• Generates ADaM datasets that comply with J&J standards
• Built on top of the 'pharmaverseadam' package
• Implements data conversion from pharmaverse format to J&J standards format
• Provides reproducible and consistent test data

Implemented Datasets

• ADSL (Subject Level Analysis Dataset)
• ADAE (Adverse Events Analysis Dataset)
• ADCM (Concomitant Medications Analysis Dataset)
• ADEG (ECG Analysis Dataset)
• ADEX (Exposure Analysis Dataset)
• ADESUM (Exposure Analysis Summary Dataset)
• ADLB (Laboratory Test Results Analysis Dataset)
• ADVS (Vital Signs Analysis Dataset)
• ADTTESAF (Time-to-Event Safety Analysis Dataset)
• ADAEOCMQ (Adverse Events Analysis Dataset OC Medical Query)
• ADAGOCMQ (Adverse Events Analysis Dataset OC Medical Query Grouped)
• ADPC (Pharmacokinetic Analysis Dataset)
• ADDISP (Disposition Analysis Dataset)

Installation

You can install the development version from GitHub:

install.packages("pharmaverseadamjnj") #CRAN Release
#devtools::install_github("johnsonandjohnson/pharmaverseadamjnj", ref = "dev") #or for the rolling dev release

Usage

library(pharmaverseadamjnj)

# Access the ADaM datasets directly
# These datasets are loaded lazily when the package is loaded
head(adsl)
head(adae)
head(adlb)
# ... and similarly for other domains

Data Sources

Test datasets have been sourced from the pharmaverseadam package, which utilized the data from the pharmaversesdtm package and the CDISC pilot project.