140.649.01
Essentials of Probability and Statistical Inference IV
Location
East Baltimore
Term
4th Term
Department
Biostatistics
Credit(s)
4
Academic Year
2012 - 2013
Instruction Method
TBD
Tu, Th, 3:30 - 4:50pm
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Charles Rohde
Frequency Schedule
Every Year
Resources
Prerequisite
140.646-648 or 140.611-12 or 140.621-24 or 140.651-54 or 140.671-74; working knowledge of calculus
Builds on the concepts discussed in 140.646, 140.647, 140.648 to provide the theory for modern statistical methods such as linear models, generalized linear models, random effects models, and marginal regression models. Also discusses the theory of causal inference. De-emphasizes proofs and replaces them with extended discussion of interpretation of results and simulation for illustration.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Describe the theoretical basis for the current methods used in statistical analysis