140.648.01 ESSENTIALS OF PROBABILITY AND STATISTICAL INFERENCE III: THEORY OF MODERN STATISTICAL METHODS
Department:
Biostatistics
Term: 3rd term
Credits: (4 credits)
Academic Year: 2012 - 2013
Course Instructor:
Description:
Builds on the concepts discussed in 140.646 and 140.647 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.
Student Evaluation: Method of student evaluation based on 4-5 problem sets and a final exam
Learning Objective:
After completing this course, students will be able to understand the theoretical basis for the current methods used in statistical analysis.
Location: Baltimore
Class Times:
- Tuesday 3:30 - 4:50
- Thursday 3:30 - 4:50
Enrollment Minimum: 10
Instructor Consent:
Prerequisite:
Working knowledge of calculus
Grading Restriction: Letter Grade or Pass/Fail