EAB 770: Applied Statistical Methods for Categorical Data

Fall 2025

Author

Miguel Antonio D. Fudolig, Ph.D.

Published

August 25, 2025

Course Details

Instructor Information

Office Hours: M/W 1-3:30 PM Class Hours: W 4-6:45 PM
Office: GTW 346 Classroom: CHB/CBC C 321
Email: miguel.fudolig [at] unlv.edu Office Phone: 702-895-4413

Course Description

Focus on introducing methodology and statistical programming for categorical data analysis, including multi-way contingency tables, the logit model for binary responses, multi-category logit models for nominal and ordinal responses, and loglinear models. Sample SAS codes will be provided for each chapter.

Course Prerequisites

EAB 791 (Intermediate Biostatistics for Public Health Research) or consent of instructor.

Course Objectives and Expected Learning Outcomes

By the end of this course:

  1. Select quantitative and qualitative data collection methods appropriate for a given public health context. (MPH 02)

  2. Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming and software, as appropriate. (MPH 03)

  3. Interpret results of data analysis for public health research, policy or practice. (MPH 04)

  4. Apply appropriate statistical methods according to study design (PhD EAB 01)

  5. Evaluate the strengths and limitations of statistical analyses (PhD EAB 02)