Data Analysis in R

Interpreting Descriptive Outputs

Learning Outcomes

30-45 minutes Applied Step 2 of 8

Outcomes

Learning Outcomes

2 / 8

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.