BSTA 504 Topics in Biostatistics

Instructor(s): Various Biostatistics Faculty

Course Description This course is an elective course for students in the Graduate Certificate program in Biostatistics and could also be used as an elective course for students in the Epidemiology track and the Biostatistics track in the Oregon MPH program. The course covers selected current topics in Biostatistics at the intermediate to advanced levels that are not covered by the courses offered in PHPM. Topics may change from year to year. 

In the winter quarter of 2012, the following topics will be presented in two modules: (1) Applied Longitudinal Data Analysis (weeks 1 – 5), and (2) Statistical Methods for Classification and Prediction (weeks 6 – 10).

Topic 1: We will discuss the statistical properties of longitudinal data and special challenges due to the repeated measurements on each individual, followed by exploratory methods and statistical models for longitudinal data. Both mixed model and marginal model approaches will be covered.

Topic 2: We will discuss the statistical techniques used to evaluate medical tests and biomarkers for detecting disease or other dichotomous outcomes. These include measures of test accuracy, receiver operating characteristic (ROC) curves, and methods to combine multiple tests to improve performance.
Real-life examples from either instructors’ experience and/or the health sciences literature will be used to illustrate concepts for both topics. Homework assignments play a central role to understand and appropriately apply the methods covered in the course.

Credits 3

Term Offered Winter

Prerequisite BSTA 511 Estimation and Hypothesis Testing for Applied Biostatistics, BSTA 512 Linear Models, and BSTA 513 Categorical Data Analysis, or permission of instructor