STAT J770/BIOS J805 - Fall 2019

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

• Lecture Notes

• Tim Hanson's course web page

• Alan Agresti's support web site

• Instructions for uploading an assignment

• GSS website

• Homework
  • Homework 1

  • Homework 2

  • Homework 3

  • Homework 4 and SAS data set for Question 3 (Problem 8.4)

• Exercises
  • Section 1.2 exercise (Categorical data distributions)

  • Section 1.3-1.4 computer exercise (Binomial inference)

  • Section 1.5 exercise (Multinomial inference)

  • Chapter 2 exercise (2x2 design)

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

  • Chapter 3 computer exercise (Tests of ordinal association)

  • Chapter 4 computer exercise (Poisson regression)

  • Section 5.3 computer exercise (Logit Models)

  • Section 5.4 exercise (Multiple Logistic Regression)

  • Section 6.2 exercise and data (ROC Curve)

  • Section 7.1 exercise and data (Probit regression)

  • Section 7.2 exercise (Cumulative Logit Models) (Not assigned)

  • Chapter 8 exercise (Loglinear Models)

• SAS code and notes
  • SAS documentation

  • Introduction to SAS Studio

  • Binomial confidence intervals (Section 1.4)

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

  • SAS code for Section 3.1.2 safety belt example

  • SAS code for Section 3.1.4 physicians' health example

  • SAS code for Table 3.2 belief and education example

  • 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 of independence for smoking data

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

  • SAS code for testing linear-by-linear association in GSS data on ideology vs. happiness.

  • SAS code for Snoring data (Binary Regression)

  • SAS code for Horseshoe Crab data (Poisson Regression)

  • SAS code and data set for Horseshoe Crab Zero-inflated Poisson model

  • SAS code for Teratology example in 4.7 (Quasi-likelihood)

  • SAS code for Chapter 5 Horseshoe Crab analysis (Chapter 5 Logistic Regression)

  • SAS code for Logistic Regression with categorial variable (Chapter 5 Logistic Regression)

  • 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 Chapter 6 Introduction

  • SAS code for Chapter 6 model selection

  • SAS code for Chapter 6 model diagnostics

  • SAS code for Chapter 6 Cochran-Mantel-Haenszel tests

  • SAS code for additional Cochran-Mantel-Haenszel example

  • SAS code for Probit and Complementary Log-Log Regression

  • Reference and SAS Code for Conditional Logistic Regression.

  • SAS code for Generalized Additive Models

  • SAS code for Section 6.2 and 7.1 exercise (ROC; Probit and Complementary Log-Log Regression)

  • Section 8.1 SAS code (Multinomial Logit Models)

  • SAS code for proportional odds model

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

  • SAS code for proportional hazards model

  • SAS code for discrete choice model

  • SAS code for loglinear analysis of 2 by 2 table.

  • SAS code for loglinear analysis of I by J table.

  • SAS code for loglinear analysis of 2X2X2 table.

  • SAS code for loglinear models using GSS data

  • SAS code for residual analysis of Alligator data

  • SAS code for loglinear models using Drug Use data

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

  • SAS code for marginal homogeneity models using polygraph data

  • SAS code for matched pairs and case control data

  • SAS code for testing symmetry using Yule's data

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

  • SAS code for kappa measure of agreement

  • SAS code and data set for Chapter 12 marginal models

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

  • SAS code for Chapter 13 binomial mixed effects model (Prime Minister)

  • SAS code for binomial mixed effects model (Abortion)

  • SAS code for Chapter 13 binomial mixed effects model (Depression)

  • SAS code for binomial mixed effects model (Clinical Trial)

  • SAS code and data set for Chapter 13 multinomial mixed effects Insomnia example

  • SAS code and data set for Chapter 13 Poisson random effects model

  • SAS code and data set for Chapter 13 GLIMMIX versus NLMIXED comparision

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

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

  • Introduction to R

  • Poisson Likelihood plot (Section 1.3)

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

  • Binomial confidence intervals for score and Clopper-Pearson (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 7.1 exercise (Probit and Logistic Regression)

  • R code for Chapter 7 (Generalized Additive Models)

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

  • R code for association graphs.

  • 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

  • NC State Unconditional 2x2 web site.

  • General information on horseshoe crabs

• Midterm Exam
  • 2004 midterm exam

  • The pexact function

  • 2007 midterm exam

  • 2010 midterm exam

  • 2019 midterm exam and Excel Workbook

• 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

  • 2019 final exam and Excel Workbook

• 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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