Five College Consortium

Topics in Biostatistics

Semester: 
Spring
Year: 
2018
Subject Name: 
Statistics
Course Number: 
344BT
Institution: 
Mount Holyoke College
This course serves as an introduction to advanced topics in Biostatistics. In this course, students will learn about a range of topics, including: applied Bayesian techniques, e.g. the Gibbs sampler; multiple testing adjustments for high-dimensional data; the expectation-maximization algorithm; multiple imputation for missing data; the bootstrap for hypothesis testing; and simulation techniques for characterizing algorithm performance, including power and type-1 error rates. Areas of application will include, but are not limited to, statistical genetics and genomics. This is a project-oriented course with an emphasis on statistical programming with R.
Comments: 
Prereq: Any 200- or 300-level Statistics course.
Instructor Permission: 
Permission is required for interchange registration during the add/drop period only.
Schedule #: 
103087

Course Sections

Topics in Biostatistics
Sect # Credits Instructor(s) Instructor Email Meeting Times Location
01 4.0 Andrea Foulkes afoulkes@mtholyoke.edu MW 02:40PM-03:55PM Clapp Laboratory 401