Courses Taught by Xiang Zhou

BIOSTAT523: Statistical Methods in Epidemiology

  • Graduate level
  • Fall term(s)
  • 4 Credit Hour(s)
  • Instructor(s): Zhou, Xiang
  • Prerequisites: EPID501 or EPID601 or EPID600; AND BIOSTAT522
  • Description: Statistical methods commonly used in environmental epidemiology. Emphasis on choosing appropriate statistical methods and subsequent interpretation. Topics include probability, measures of association and risk, sample size calculations, SMR and PMR analysis, logistic regression and survival analysis.
  • Syllabus for BIOSTAT523

BIOSTAT682: Applied Bayesian Inference

  • Graduate level
  • Fall term(s)
  • 3 Credit Hour(s)
  • Instructor(s): Zhou, Xiang
  • Prerequisites: Biostat 602, Biostat 650 and Biostat 651
  • Description: Introduction to Bayesian Inference. Bayesian large sample inference, relationship with maximum likelihood. Choice of model, including prior distribution. Bayesian approaches to regression generalized linear models, categorical data, and hierarchical models. Empirical Bayes methods. Comparison with frequentist methods. Bayesian computational methods. Assessment of sensitivity to model assumptions. Emphasis on biomedical applications.
  • Syllabus for BIOSTAT682