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Course Catalog

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
Location:
East Baltimore
Class Times:
  • Tu Th,  3:30 - 4:50pm
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:

Visit the CoursePlus site for this course

Prerequisite:

Working knowledge of calculus

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 Objectives:

Upon successfully completing this course, students will be able to:

  1. 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

Instructor Consent:

Consent required for all students

Consent Note:

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