proc-freq-categorical-analysis

What problem does it solve?

This Skill helps with analyzing categorical variables in SAS, estimating measures of association (RR, OR, risk difference), and conducting stratified analyses to assess confounding or effect modification.

Core Features & Use Cases

• Univariate Descriptions: Frequency counts, percentages, and cumulative frequencies.
• Bivariate Cross-tabulation: Relative risk, odds ratio, risk difference for categorical data analysis.
• Stratified Analysis: Cochran-Mantel-Haenszel (CMH) summary measures for confounding and effect modification.
• Use Case: Analyzing categorical data in clinical trials or research studies, such as assessing treatment effects while controlling for confounding variables.

Quick Start

Analyze categorical data with PROC FREQ for exposure and outcome variables in 'mydata'.