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Course Catalog

140.647.01 ESSENTIALS OF PROBABILITY AND STATISTICAL INFERENCE II: STATISTICAL INFERENCE

Department:
Biostatistics
Term:
2nd term
Credits:
4 credits
Academic Year:
2012 - 2013
Location:
East Baltimore
Class Times:
  • Tu Th,  3:30 - 4:50pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Michael Rosenblum
Course Instructor:
  • Michael Rosenblum

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Prerequisite:

Working knowledge of linear algebra, including the ability to invert a matrix; full year college level calculus, plus current working knowledge of it, meaning you can quickly do integration and differentiation of standard functions, which are needed for homework and exam questions.

Description:

Introduces students to the theory of statistical inference. Topics include the frequentist, Bayesian and likelihood approaches to statistical inference including estimation, testing hypotheses and interval estimation. Emphasizes rigorous analysis (including proofs), as well as 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:

Course intended for Biostatistics MHS and ScM candidates only

For consent, contact:

mrosenbl@jhsph.edu