Courses Taught by Peisong Han

BIOSTAT502: Application of Regression Analysis to Public Health Studies

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 Credit Hour(s) for residential students;
  • Instructor(s): Han, Peisong (Residential);
  • Prerequisites: Biostat 501, 521 or Perm. Instr.
  • Description: Biostat 502 will cover a general overview of linear, logistic, Poisson, and Cox regression. The course will use SPSS as the statistical software.

BIOSTAT880: Statistical Analysis With Missing Data

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 3 Credit Hour(s) for residential students;
  • Instructor(s): Han, Peisong (Residential);
  • Prerequisites: Biostat 602 and 651, and at least one of Biostat 690, Biostat 851, Biostat 890, or Biostat 895 or Perm Inst.
  • Description: Statistical analysis of data sets with missing values. Pros and cons of standard methods such as complete-case analysis, imputation. Likelihood-based inference for common statistical problems, including regression, repeated-measures analysis, and contingency table analysis. Stochastic censoring models for nonrandom nonresponse. Computational tools include the EM algorithm, the Gibbs' sampler, and multiple imputation.
  • Syllabus for BIOSTAT880

BIOSTAT885: Nonparametric Statistics

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 Credit Hour(s) for residential students;
  • Instructor(s): Han, Peisong (Residential);
  • Not offered 2020-2021
  • Prerequisites: Biostat 601/602 or Perm. Instr.
  • Description: Theory and techniques of nonparametrics and robustness. M-estimation, influence function, bootstrap, jackknife, generalized additive models, smoothing techniques, penalty functions, projection pursuit, CART.
  • Syllabus for BIOSTAT885