Skip Navigation

Course Catalog

140.676.11 BIOSTATISTICAL ANALYSIS OF EPIDEMIOLOGIC DATA I: LOGISTIC REGRESSION

Department:
Biostatistics
Term:
Summer Inst. term
Credits:
2 credits
Academic Year:
2012 - 2013
Location:
East Baltimore
Dates:
Mon 06/18/2012 - Fri 06/22/2012
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

Course Evaluation

Visit the CoursePlus site for this course

Description:

Uses a "workshop" approach to teach advanced statistical techniques for epidemiologic data. Starts with a discussion of model-free methods, illustrated by the 2 by k table, and combining a series of 2 by 2 tables using weighted averages. Reviews estimation and likelihood methods. Discusses linear logistic analysis methods used to explore categorical data. Presents the biostatistical concepts of additivity, independence, confounding, and interaction in the context of logistic models

Learning Objectives:

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

  1. identify advanced statistical techniques for epidemiologic data
  2. utilize model-free methods, illustrated by the 2 by k table and by combining a series of 2 by 2 tables using weighted averages
  3. employ estimation and likelihood methods
  4. utilize linear logistic analysis methods to explore categorical data
  5. list the biostatistical concepts of additivity, independence, confounding, and interaction in the context of logistic models
Methods of Assessment:

Final Exam or paper

Instructor Consent:

No consent required