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140.648.01
Essentials of Probability and Statistical Inference III: Theory of Modern Statistical Methods

Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2013 - 2014
Instruction Method
TBD
Class Time(s)
Tu, Th, 3:30 - 4:50pm
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Frequency Schedule
Every Year
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