Courses

University of Illinois Chicago

School of Public Health

• BSTT 535. Categorical Data Analysis (Spring 2026)
  Graduate-level course covering contingency tables and corresponding hypothesis tests, measures of association, stratified analysis, logistic regression, generalized linear models, Poisson regression, log-linear models, matched data, marginal homogeneity, and methods for ordinal outcomes.

• IPHS 454–455: Quantitative Methods and Analysis I & II (Fall 2025, Spring 2026)
  Graduate-level courses that provide a comprehensive foundation in analytic and research methods essential for evidence-based public health.

• IPHS 405: Analytic and Research Methods in Public Health Part II (Spring 2025)
  Second part of a graduate level course sequence that introduces students to the analytical and research methods essential for carrying out the core functions of evidence-based public health.

• IPHS 402: Analytic and Research Methods in Public Health (Fall 2023, 2024)
  Graduate level course that introduces students to the analytic and research methods used to carry out the core functions of evidence-based public health.

College of Applied Health Sciences

• AHS 511–512: Biostatistics I & II (Fall 2023, 2024, 2025; Spring 2024, 2025, 2025)
  Graduate-level sequence providing a foundation in biostatistical reasoning and applied data analysis. Topics include descriptive statistics, probability, one- and two-sample inference, ANOVA, linear and logistic regression, clinical trial design, and introductory epidemiology, progressing to multifactor ANOVA/ANCOVA, advanced regression, nonparametric and categorical methods, factor and cluster analysis, and longitudinal/repeated-measures approaches.