BSTA 661 - Categorical Data Analysis

Units: 2
Applied methods for discrete data. Topics may include: proportions and counts, contingency tables, loglinear models, logistic regression, Poisson regression, generalized linear models. Data integrity. Computing techniques and analysis of discrete data. Use of SAS. Report writing.

Prerequisites: STAT 631 and STAT 632.
Equivalent Quarter Course: BSTA 6651 or STAT 6651.
Possible Instructional Methods: Entirely On-ground.
Grading: A-F grading only.
Cross-listed: STAT 661.