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Course Catalog

140.649.01 ESSENTIALS OF PROBABILITY AND STATISTICAL INFERENCE IV

Department: Biostatistics
Term: 4th term
Credits: 4 credits
Contact: Mei-Cheng Wang
Academic Year: 2014 - 2015
Course Instructor:
Description:

Builds on the concepts discussed in 140.646, 140.647, 140.648 to lay out foundation for both classical and modern theory/methods for drawing statistical inference. Includes classical unbiased estimation, unbiased estimating equations, likelihood and conditional likelihood inference, linear models and generalized linear models, and other extended topics. De-emphasizes mathematical proofs and replaces them with extended discussion of interpretation of results and examples 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: No consent required
Prerequisite:

140.646-648 or 140.611-12 or 140.621-24 or 140.651-54 or 140.671-74; working knowledge of calculus

Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Special Comments: One 1-hour lab per week (time TBA)