140.677.11
Biostatistical Analysis of Epidemiologic Data II: Logistic Regression Analysis
Location
East Baltimore
Term
Summer Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2017 - 2018
Instruction Method
TBD
Start Date
Monday, June 19, 2017
End Date
Friday, June 23, 2017
M, Tu, W, Th, F, 8:30am - 12:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Steve Selvin
Contact Name
Frequency Schedule
Every Year
Resources
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:
- Understand and apply regression multivariable statistical tools to analyze multivariate data
- Effective use of a variety of methods in the context of count data and analysis of tables
- Use logistic regression analysis techniques applied to binary outcomes generated from multivariate data