SAS Programs for Categorical Data Analysis

Here are the SAS programs for the examples done in class and for some of the examples in the text.

• Income and job satisfaction (Pearson's chi-square and likelihood ratio tests of independence):
  • SAS program
  • SAS output
• Exercise 2.15:
  • SAS program
  • SAS output
• Fisher's Tea-Tasting Experiment (Fisher's exact test):
  • SAS program
  • SAS output
• Death penalty data (Cochran-Mantel-Haenszel test):
  • SAS program
  • SAS output
• Chinese smoking and lung cancer data (Cochran-Mantel-Haenszel test):
  • SAS program
  • SAS output
• Exercise 3.8 (and 3.9) (Passive smoking):
  • SAS program
  • SAS output
• Infant malformation example (linear probability model and logistic regression):
  • SAS program
  • SAS output
• Wafer defects example (comparing two Poisson means)
  • SAS program
  • SAS output
• Poisson loglinear model for grouped Crab data
  • SAS program
  • SAS output
• Poisson and logistic models for ungrouped crab data (produced the long handout in class)
  • SAS program
  • SAS output
• Exercise 4.11: SAS program
• Exercise 4.16 (Poisson loglinear model with offset and a bit of a strange model at the end)
  • SAS program
  • SAS output
  • Handout
• Logistic regression with grouped crab data (goodness-of-fit and residuals)
  • SAS program
  • SAS output
• Death penalty data: logistic regression analysis
  • SAS program
  • SAS output
• Exercise 5.6 (logistic regression of gender on party affiliation): SAS program
• Income and job satisfaction via loglinear model
  • SAS program
  • SAS output
• Exercise 6.7 (loglinear models for busing, president, and dinner): SAS program
• Exercise 8.3 (baseline-category logit model for belief in afterlife): SAS program
• Exercise 8.4 (baseline-category logit models for presidential vote): SAS program
• Exercise 8.6 (proportional odds model for frequency of breast self examination): SAS program (I think this is correct, but I haven't checked the output carefully yet).