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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.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Describe the theoretical basis for the current methods used in statistical analysis

Methods of Assessment: Method of student evaluation based on 4-5 problem sets and a final exam
Location: East Baltimore
Class Times:
  • Tuesday 3:30 - 4:50
  • Thursday 3:30 - 4:50
Enrollment Minimum: 10
Instructor Consent: Consent required for all students

Consent required only for students who have not taken 140.646 and 140.647

Prerequisite:

Working knowledge of calculus

Grading Restriction: Letter Grade or Pass/Fail