140.754.01
Advanced Methods in Biostatistics IV
Location
East Baltimore
Term
4th Term
Department
Biostatistics
Credit(s)
4
Academic Year
2017 - 2018
Instruction Method
TBD
Tu, Th, 10:30 - 11:50am
Lab Times
Tuesday, 9:00 - 10:20am (01)
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
140.751-753
Extends topics in 140.753 to encompass generalized linear mixed effects models. Introduces expectation-maximization and Markov Chain Monte Carlo. Introduces functional data analysis. Foundational topics include: linear mixed model, generalized linear mixed model, EM, MCMC, models for longitudinal data, and functional data analysis. Emphasizes both rigorous methodological development and practical data analytic strategies.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Use modern statistical concepts such as linear mixed model (LMM) and generalized linear mixed models (GLMM) for inference
- Describe the relationship between LMM and GLMM
- Extend models to account for clustering and correlation
- Understand and use EM and MCMC
- Learn techniques for solving prediction problems
- Describe modern statistical methods for complex datasets including functional data analysis
- Improve computational and analytic skills through analysis of simulated and real data sets