STAT 770/BIOS 805 - Spring 2010

Welcome to STAT 770/BIOS 805, Categorical Data Analysis. This page contains updates to the course syllabus, computer notes from class, homework assignments and important notices. Send any questions to grego@stat.sc.edu

• Syllabus

• Notices
  • Project draft is due Wednesday, April 21

  • Project oral presentations are Friday, April 23 and Monday, April 26

  • Alan Agresti's support web site

• Homework
  • Homework 1

  • Homework 2

  • Homework 3

  • Homework 4

  • Homework 5

• Exercises
  • Section 1.2 group exercise (Categorical data distributions)

  • Section 1.3-1.4 group computer exercise (Binomial/Poisson inference)

  • Section 1.5 group exercise (Multinomial inference)

  • Chapter 2 group exercise (2x2 design)

  • Sections 3.1-3.3 group exercise (2-way table test for independence)

  • Chapter 3 group computer exercise (Tests of ordinal association)

  • Section 3.5 group exercise (Distribution of IxJ table under independence and fixed marginals)

  • Chapter 4 group computer exercise (Poisson regression)

  • Section 5.3 group computer exercise (Logit Models)

  • Section 5.4 group exercise (Multiple Logistic Regression)

  • Section 6.2 exercise and data (ROC Curve)

  • Section 6.6 exercise and data (Probit regression)

  • Section 7.2 in-class exercise (Cumulative Logit Models)

  • Chapter 8 group exercise (Loglinear Models)

• SAS code and notes
  • SAS documentation

  • SAS code for Chapter 2 contingency table (Measures of Association)

  • SAS code for Sections 3.1-3.3 group exercise on Christmas Bird Count data (Chi-squared Test of Independence)

  • SAS code for Section 3.1-3.4 partitioning of Christmas Bird Count data

  • SAS code for partitioning of Binge drinking data

  • SAS code for Exact test with SIC data and OSHA SIC search website .

  • SAS code for Horseshoe Crab data (Poisson Regression)

  • SAS code for Horseshoe Crab data residual analysis

  • SAS code to demonstrate ZIP model fitting for Poisson data without and with a covariate

  • SAS code for logistic regression exercise with factors

  • SAS data set for logistic regression exercise with factors

  • SAS stepwise code to start HW 5.27

  • SAS code for Section 6.3 Cochran-Mantel-Haenszel in-class demo

  • SAS code for Section 6.2 and 6.6 exercise (ROC; Logistic and Probit Regression)

  • Section 7.1 SAS code (Multinomial Logit Models)

  • SAS code for proportional odds and non-proportional odds models

  • SAS code for loglinear models using GSS data

  • SAS code for a linear-by-linear association model.

  • SAS code for marginal homogeneity models using polygraph data

  • SAS code for symmetry and quasi-symmetry models using polygraph data

  • SAS code for a population-averaged marginal model using GSS data

  • SAS code from a student project with some useful macro programming.

• R code and notes
  • Don Edward's R primer

  • Poisson Likelihood plot (Section 1.3)

  • Poisson Likelihood-based CI (Section 1.3)

  • Exact coverage for Clopper-Pearson CI (Section 1.4)

  • Verifying the rank of a Multinomial covariance matrix

  • R code for a set of functions and sample session demonstrating Clogg, Lindsay, and Rudas's method for mixing an independent table and fully nonparametric table.

  • R code for Feral Hog contingency table

  • R code for Exact test with SIC data

  • R code for the pexact function used in class and on the midterm

  • R function for Section 6.5 sample size calculation

  • R code for Section 6.5 sample size contour plot

  • R code for Section 6.6 exercise (Probit and Logistic Regression)

  • R code to simulate multinomial probabilties for GPA/OIR example.

  • R code to simulate multinomial data for polygraph examples.

  • R code to compute conditional MLE's for marginal effects in a 2^T table.

  • R code to compute conditional MLE's for marginal effects in a capture-recapture experiment.

  • R code to compute unconditional MLE's for marginal effects in a capture-recapture experiment.

• Data sets and other code
  • Powerpoint file of feral hog foraging activity

  • Tomonori Ishikawa's Excel worksheet for HIV-AIDS Bayes posterior probabilities (See overview of Rapid HIV testing for recommendations on specificity, prevalence and sensitivity and other details

  • Roger Berger's Unconditional 2x2 web site and some supporting documentation

  • General information on horseshoe crabs

• Midterm Exam
  • 2004 midterm exam

  • The pexact function

  • 2007 midterm exam

  • 2010 midterm exam

• Final Exam
  • 2004 final exam

  • Tab-delimited text file for Problem 1 of Final Exam

  • 2007 final exam

  • Tab-delimited text file for Problem 1 of 2007 Final Exam

  • 2010 final exam

  • Tab-delimited text file for Problem 1 of 2010 Final Exam

  • Space-delimited text file (no variable names) for Problem 5 of 2010 Final Exam

• Project information
  • Project Guide

  • Some project ideas

  • Modification of John Spurrier's Oral Report Guidelines

  • An Alternative Set of Oral Report Guidelines

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