Courses Taught by Jian Kang

BIOSTAT615: Statistical Computing

  • Graduate level
  • Fall term(s)
  • 3 Credit Hour(s)
  • Instructor(s): Kang, Jian
  • Prerequisites: None
  • Description: A survey of key algorithms for statistical computing and its applications in Biostatistics. The course will cover fundamental computational techniques for dynamic programming, sorting, and searching, as well statistical methods for random number generation, numerical integration, function optimization, Markov-Chain Monte Carlo, and the E-M algorithm. Enables students to understand numerical results produced by a computer and to implement their own statistical methods.
  • Syllabus for BIOSTAT615

BIOSTAT830: Advanced Topics in Biostatistics

  • Graduate level
  • Fall, Winter term(s)
  • 1-4 Credit Hour(s)
  • Instructor(s): Shi, Xu Kang, Jian
  • Prerequisites: course/instructor dependent
  • Description: Advanced training in biostatistical methods primarily for doctoral students. Format will include lectures, readings, presentations and discussions in an area of special interest to students and faculty, such as stopping rules and interim analysis in clinical trials, conditional and unconditional inference and ancillarity, or nonparametric regression.
  • Syllabus for BIOSTAT830