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Course Catalog

140.677.11 Biostatistical Analysis of Epidemiologic Data II: Logistic Regression Analysis

Department:
Biostatistics
Term:
Summer Inst. term
Credits:
2 credits
Academic Year:
2017 - 2018
Location:
East Baltimore
Dates:
Mon 06/19/2017 - Fri 06/23/2017
Class Times:
  • M Tu W Th F,  8:30am - 12:00pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Ayesha Khan
Course Instructor:
  • Steve Selvin
Resources:
Description:

Presents applications of regression techniques , starting with a review of simple regression, as a foundation. Logistic regression technique are then described in detail with emphasis on the application to epidemiologic binary outcome data in several contexts. All regression techniques are illustrated with applied examples. Also included is a discussion the concept of quasi-independence

and the analysis of incomplete data in several contexts.

Learning Objectives:

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

  1. Understand and apply regression multivariable statistical tools to analyze multivariate data
  2. Effective use of a variety of methods in the context of count data and analysis of tables
  3. Use logistic regression analysis techniques applied to binary outcomes generated from multivariate data
Methods of Assessment:

Final exam or paper

Instructor Consent:

No consent required