Courses Taught by Xiang Zhou

BIOSTAT601 Probability and Distribution Theory

  • Graduate level
  • Fall term(s)
  • 4 Credit Hour(s)
  • Instructor(s): Wang, Lu; Zhou, Xiang;
  • Prerequisites: Three terms of calculus
  • Description: Fundamental probability and distribution theory needed for statistical inference. Probability, discrete and continuous distributions, expectation, generating functions, limit theorems, transformations, sampling theory.
  • Syllabus for BIOSTAT601

BIOSTAT653 Applied Statistics III: Longitudinal Analysis

  • Graduate level
  • Fall term(s)
  • 3 Credit Hour(s)
  • Instructor(s): Zhou, Xiang
  • Prerequisites: BIOSTAT650 and concurrent enrollment in BIOSTAT651
  • Description: This course provides an overview of statistical models and methodologies for analyzing repeated measures/longitudinal data. The course covers general linear models and linear mixed models for analyzing correlated continuous data, as well as marginal (i.e. GEE), conditional (i.e. generalized linear mixed model) and transition models for analyzing correlated discrete data.
  • Syllabus for BIOSTAT653