STAT 566                       Discrete Multivariate Data Analysis                          Fall 2006

 

Instructor:         Tom O'Gorman                                                Office Hours:    9:00-10:00 a.m. MTWF

Office:              361D DuSable                 Text:  Categorical Data Analysis, 2nd edition by Alan Agresti

 

Week of              Topic                                                                                                Sections          

Aug. 27               Statistical Inference for Categorical Data                                      1.1-1.5

                           Exact Inference                                                                           

 

Sept. 3                Contingency Tables                                                                     2.1-2.3

                           Partial Association                                                                      

 

Sept.  10             Measures of Association                                                              2.4, notes, 3.1

                           Confidence Intervals, Delta method                                             

 

Sept. 17              Testing Independence                                                                  3.2-3.4

                           Ordered Classifications                                                               

 

Sept. 24              Exact Tests                                                                                  3.5, 4.1, 4.2

                           Generalized linear models for binary data                                     

 

Oct. 1                 Generalized linear models for count data                                       4.3

                           Test 1 Covers Chapters 1-3 on Oct. 4

 

Oct. 8                 Likelihood Functions                                                                    4.4, 4.5

                           Inference for GLMs                                                                    

 

Oct. 15               Logistic regression models                                                           5.1, 5.2, 5.3

                           Logistic regression model with categorical predictors                   

 

Oct. 22               Multiple logistic regression                                                           5.4, 5.5

                           Fitting logistic regression                                                             

 

Oct. 29               Model Selection                                                                          6.1, notes, 6.2

                           Logistic regression diagnostics                                                     

 

Nov. 5                Tables                                                                         6.3, Mantel(1963), 6.6

                           Other models                                                                              

 

Nov. 12              Historical Tour of categorical data analysis                                   16.1-16.5

                           Test 2 covers Chapters 4-6 on November 15

 

Nov. 19              Logit model for multinomial responses                                          7.1,

                           Thanksgiving Holiday                                                                  

 

Nov. 26              Introduction to loglinear models                                                    8.1, 8.2, 8.3

                           Loglinear models for 3-way tables                                               

 

Dec. 3                 Iterative proportional fitting                                                          8.7, 9.1

                           Collapsibility                                                                               

 

Dec. 13               Final Exam 10-11:50

 

Each mid term test is worth 100 points.  The final exam is also worth 100 points.  The assignments will be worth 100 points. With a total of 400 points possible, the cutpoints for letter grades A, B, C, and D will not exceed 360, 320, 280, and 240 points respectively.

 

If you have a disability that may have some impact on your work in this class, and for which you may require exam and/or other types of accommodations, please contact me as soon as possible so that appropriate accommodations can be made.