Courses Taught by Thomas Braun
BIOSTAT653: Theory and Application of Longitudinal Analysis.
- Graduate level
- Residential
- Fall term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Braun, Thomas Wu, Zhenke (Residential);
- Prerequisites: BIOSTAT650 and concurrent enrollment in BIOSTAT651
- Description: This course overviews the statistical models and methodologies for analyzing repeated measures/longitudinal data. It 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
| Department | Program | Degree | Competency | Specific course(s) that allow assessment | BIOSTAT | MS | Perform ANOVA analysis and longitudinal data analysis | BIOSTAT653 | BIOSTAT | PhD | Perform statistical analysis for longitudinal data and correlated data | BIOSTAT653 |
|---|
BIOSTAT685: Elements of Nonparametric Statistics
- Graduate level
- Residential
- Winter term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Braun, Thomas (Residential);
- Prerequisites: Biostat 602 or STAT 511, and Biostat 650 or Perm. Instr
- Description: First half covers theory and applications of rank and randomization tests: sampling and randomization models, randomization t-test, Wilcoxon rank sum and signed rank tests, Kruskal-Wallis test, asymptotic result under randomization, relative efficiency; second half covers theory and applications of nonparametric regression: smoothing methods, including kernel estimators, local linear regression, smoothing splines, and regression splines, methods for choosing the smoothing parameter, including unbiased risk estimation and cross-validation, introduction to additive models.
- Syllabus for BIOSTAT685