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140.676.11 BIOSTATISTICAL ANALYSIS OF EPIDEMIOLOGIC DATA I: LOGISTIC REGRESSION

Department: Biostatistics
Term: Summer Inst. term
Credits: 2 credits
Contact: Ayesha Khan
Academic Year: 2012 - 2013
Course Instructor:
  • Steve Selvin
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 Objective(s):
Upon successfully completing this course, students will be able to:
identify advanced statistical techniques for epidemiologic data
utilize model-free methods, illustrated by the 2 by k table and by combining a series of 2 by 2 tables using weighted averages
employ estimation and likelihood methods
utilize linear logistic analysis methods to explore categorical data
list the biostatistical concepts of additivity, independence, confounding, and interaction in the context of logistic models

Methods of Assessment: Final Exam or paper
Location: East Baltimore
Class Times:
  • Mon 06/18/2012 - Fri 06/22/2012
  • Monday 8:30 - 12:00
  • Tuesday 8:30 - 12:00
  • Wednesday 8:30 - 12:00
  • Thursday 8:30 - 12:00
  • Friday 8:30 - 12:00
Enrollment Minimum: 10
Instructor Consent: No consent required
Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail