Summarizing Categorical Variables
Learning Outcomes
Outcomes
2 / 13
Learning Outcomes
- Explain the role of descriptive analysis in clinical research data management and reporting.
- Distinguish between data management summaries, monitoring summaries, and statistical analysis outputs.
- Generate descriptive summaries for categorical variables using counts and percentages.
- Generate descriptive summaries for numeric variables using appropriate measures of location and spread.
- Create cross-tabulations for site, visit, outcome, and data quality monitoring.
- Use R to produce reproducible summary tables suitable for review and reporting.
- Interpret summary outputs cautiously, with attention to missing data, denominators, coding, and study context.
- Identify common errors in descriptive analysis workflows and apply practical safeguards.