Statistics 545: "GENERALIZED
LINEAR MODELS & CATEGORICAL DATA ANALYSIS"
LAST UPDATE: 24 Mar 2006 at 15:30.
Time & Location: Wed. & Fri., 16:00-17:15 in
Duncan Hall 1075
Required Texts: Categorical Data Analysis, 2nd edition,
by Alan Agresti; ISBN 0-471-36093-7
Ordinal Data Modeling, by Valen E. Johnson, James H. Albert;
ISBN 0-387-98718-5
Instructors: Valen E. Johnson and Dennis D. Cox
Description: The first half of
the course is devoted to the theory and methodology
of categorical data analysis with an introduction to Generalized Linear
Models. There will be analyses of real data sets using S-plus or other
computer package. The second half of the course will be devoted
to Bayesian methods for categorical data, and the analysis of
ordinal categorical data.
Prerequisites: Stat 410 and 431-432,
or permission of Instructor.
CONTACT INFORMATION:
Valen Johnson
Office: DH ???? (for office hours)
phone: 713-563-6758
email:
vejohnson@mdanderson.org
Office Hours: ???
Dennis Cox
Office: 2080 Duncan Hall (DH)
phone: 6007 (longphone: 713-348-6007)
email: dcox@rice.edu
Office Hours:
Monday 13:00 - 13:50
?????
and by appointment.
Grading: The course will
be in two modules taught by the two instructors. For Module 1,
the grading is
60% Homework: Approximately weekly
homeworks of about 5 problems.
40% Midterm: Two hour take-home exam,
handed out ???, due ???.
For Module 2 ...
Note: Please feel free to propose an
alternative grading plan.
Links
1. Syllabus from last time course was taught
2. Website for the book
(Contains solutions, software, datasets, corrections, etc.)
3.
Homeworks
4.
Links to the R-code presented in class on Wed. 22 Mar 06: The program to
compute the log-unnormalized-posterior
lup.R,
the program to compute the Metropolis steps
mhstep.R,
and the program to manage the Metropolis algorithm
mhsim.R.
5.
Dr. Johnson's MCMC code for simulating from the posterior of a normal
mean and variance
normalMH.r,
Table 6 containing the data for the homework assignment
Table6.doc,
and the numbers from that data in a text file
Table6.txt.
Any
student with a disability requiring accommodations in this course is encouraged
to contact Dr. Johnson or Dr. Cox after class or during office hours.
Additionally, students should contact Disability Support Services in the
Ley Student Center.
Send problems or suggestions to dcox@stat.rice.edu