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140.677.11 BIOSTATISTICAL ANALYSIS OF EPIDEMIOLOGIC DATA II: POISSON AND CONDITIONAL LOGISTIC REGRESSION ANALYSIS

Department: Biostatistics
Term: Summer Inst. term
Credits: 2 credits
Contact: Ayesha Khan
Academic Year: 2012 - 2013
Course Instructor:
  • Steve Selvin
Description:

Presents count data as occur in epidemiologic research. Presents Poisson regression methods for counted responses. Describes Poisson models for application to morbidity and mortality outcomes. Discusses matched pairs data and analysis. Presents conditional logistic models for matched data. Presents randomization tests and bootstrap estimation techniques.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
measure count data as occur in epidemiologic research
utilize Poisson regression methods for counted responses
perform appropriate analyses of matched pairs data
employ conditional logistic models for matched data
recognize the merits of randomization tests and bootstrap estimation techniques

Methods of Assessment: Final exam or paper
Location: East Baltimore
Class Times:
  • Mon 06/25/2012 - Fri 06/29/2012
  • 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
  • Saturday 8:30 - 12:00
Enrollment Minimum: 10
Instructor Consent: No consent required
Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail