Discrete Data Analysis and Bioassay (STA 3813) Fall 1998
Time: TR 5:30 - 6:45 pm, Room: HSS 3.02.40


Instructor:		Dr. Ming-Ying Leung

Office Hours:		TR  9 - 11 am, or by appointment
			Office:	SB 4.01.22
			Phone: 	458-5535
			Fax:	458-4439
			Email:	leung@math.utsa.edu
			Web:	http://www.math.utsa.edu/~leung/

Course Objectives: To introduce statistical methods for analyzing categorical data and quantifying 
drug response which are useful for assessment of  medical treatments.

Scope: This course will introduce methods for analyzing count data, two- and three- way 
contingency tables,  probit analysis, logistic regression, and some basic techniques in bioassays.

Text:			An Introduction to Categorical Data Analysis by Alan Agresti.

Prerequisite:		STA 1993 or STA 3523 (concurrent enrollment in STA 3523 is acceptable).

Syllabus:		Chapter 1	Introduction
			Chapter 2	Two-Way Contingency Tables
			Chapter 3	Three-Way Contingency Tables 
			Chapter 4	Generalized Linear Models
			Chapter 5	Logistic Regression
			Bioassay - material will be taken from the book by J.J. Hubert
			
Calculator:	Texas Instrument TI-83

Software:	MINITAB, Student Edition; PC SAS.

Grading:	There will be 10 homework assignments, at least 10 class exercises, two in class 
tests, and a final exam. They will contribute to your overall grade according to the 
following percentages.

		Homework: 		20%	(Due in class every Tuesday except on test dates) 
		Class exercises:	15% 	(Group work in class)
		Test I: 			20% 	(In class Tuesday, 9/22)
		Test II:			20%	(In class Tuesday, 10/27)
		Final Exam:		25% 	(Tuesday, 12/8, 5:00 - 7:30 pm)

NO MAKEUP EXAM will be given except for emergency or medical reasons. In such cases, the 
student should submit a written request accompanied by official documents to arrange for a makeup 
test. Overdue assignments will only be accepted for a good reason. However, the instructor 
reserves the right to discount part or all of the credit for any late homework.

LAST DAY TO DROP an individual course is 10/23. After this date, no individual course can be 
dropped without withdrawing from the University.