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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.

Usage

trial02_cdisc

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.

Note

The numeric codes for categorical variables such as RACEN and TRTPN are arbitrary and should be interpreted within the context of this dataset. For example, refer to the categorical representations for additional context.