Chapter 11 - PROC FREQ - Analyzing Tables and Counts, SAS Essentials, Alan Elliott & Wayne Woodward

Chapter 11 - PROC FREQ - Analyzing Tables and Counts, SAS Essentials, Alan Elliott & Wayne Woodward
LEARNING OBJECTIVES
• To be able to use PROC FREQ to create one-way frequency tables
• To be able to use PROC FREQ to create two-way (cross-tabulation) tables
• To be able to use two-by-two contingency tables to calculate relative risk measures
• To be able to use Cohen’s kappa to calculate inter-rater reliability
Data that are collected as counts require a specific type of treatment. It doesn’t make sense to calculate means and standard deviations on this type of data. Instead, categorical data (also called qualitative data) are often analyzed using frequency and cross-tabulation tables. The primary procedure within SAS® for this type of analysis is PROC FREQ.

[@diptid1415]

Hi Alan, In example, 11.8, for relative risk calculation, the table for cleaner by rash indicates that for Cleaner 1 i.e. row 1 the percentage for developing a rash is higher as opposed to Cleaner 2 or row 2 which shows that the percentage for not developing a rash is higher.@27:13 In the comments for the explanation for the odds ratio statistics it is stated that "the odds of a person's having a rash who is using cleaner 1 is less than they are when the person is using cleaner 2. Please explain, as the comment is contradictory to the tables percentages for the same example.