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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
Academic Year:
2013 - 2014
Location:
East Baltimore
Class Times:
  • Mon 06/17/2013 - Fri 06/21/2013
    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

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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 Objectives:

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

  1. measure count data as occur in epidemiologic research
  2. utilize Poisson regression methods for counted responses
  3. perform appropriate analyses of matched pairs data
  4. employ conditional logistic models for matched data
  5. recognize the merits of randomization tests and bootstrap estimation techniques
Methods of Assessment:
Final exam or paper
Instructor Consent:
No consent required