This dataset is a simplified, binary outcome version of a sample Phase 2 clinical trial dataset formatted according to the Analysis Data Model (ADaM) standards set by the Clinical Data Interchange Standards Consortium (CDISC). It is designed for training and educational purposes, showcasing how clinical trial data can be structured for statistical analysis.
Format
A data frame with 254 rows and 13 columns, representing trial participants and key variables:
- USUBJID
- Unique subject identifier (alphanumeric code). A code unique to the clinical trial 
- PARAM
- Parameter name indicating the specific measurement or outcome assessed. 
- AGE
- Age of the participant at study enrollment, in years. 
- AGEGR1
- Categorical representation of age groups. 
- AGEGR1N
- Numeric code representing age groups, used for statistical modeling. 
- RACE
- Self-identified race of the participant 
- RACEN
- Numeric representation of race categories, used for statistical modeling. 
- SEX
- Participant's sex at birth. 
- TRTP
- Planned treatment assignment, indicating the specific intervention or control condition. 
- TRTPN
- Numeric code for the planned treatment, simplifying data analysis procedures. 
- AVAL
- Analysis value, representing the primary outcome measure for each participant. 
- AVALC
- Character representation of the analysis value, used in descriptive summaries. 
- FASFL
- Full analysis set flag, indicating if the participant's data is included in the full analysis set. 
Source
This dataset has been reformatted for educational use from the
safetyData package, specifically adam_adtte. For the original data and
more detailed information, please refer to the
safetyData documentation.
Details
This dataset serves as an illustrative example for those learning about the ADaM standard in clinical trials. It includes common variables like demographic information, treatment assignments, and outcome measures.
Data privacy and ethical considerations have been addressed through the anonymization of subject identifiers and other sensitive information. The dataset is intended for educational and training purposes only.