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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.

Student Evaluation: Final exam or paper
Learning Objective:

Upon successful completion of 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.

Location: 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
For consent, contact: akhan@jhsph.edu
Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail
Catalog Subcommittee Actions: CourseTitle, CourseLearningObj, CourseOfferRationaleNote, ScheduleTypeId, StartDate, EndDate, .02/13/2012;