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

Discusses the application and interpretation of statistical tools useful for the analysis of Epidemiologic and medical data. Included are numerous case studies using real or realistic data to further explore the properties of at least six important biostatistical techniques. The material covered includes: non-parametric survival analysis including the Cox proportional hazard model, the analysis, application and statistical structure of disease and morality rates, analysis of time/space clustering of disease illustrated by childhood leukemia, the analysis of tables with model (loglinear models) and model-free techniques, classification accuracy with emphasis on ROC curves, graphical methods of analysis applied to regression and prediction models and a comprehensive description of the analysis of case/control data contained in 2 by 2 and 2 by tables.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
use semiparametric statistical techniques as applied to epidemiologic data
apply smoothing techniques (local linear methods, kernel methods and splines)

Methods of Assessment: Final exam or paper
Location: East Baltimore
Class Times:
  • Mon 07/02/2012 - Fri 07/06/2012
  • 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