140.678.11 | AY 2013-2014 - Summer Inst. Term | 2 Credit(s)
MTWThF 8:30:00 AM
  • Contact Information
  • Course Learning Objectives

    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)
  • Course Description

    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.

  • Intended Audience

    JHSPH students and Summer Institute participants

  • Methods of Assessment

    Grading Policy: Final exam or paper

    Grading Restrictions: Letter grade

  • Academic Ethics Code

    The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:

    Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.

  • Disability Support Services

    If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services:, 410-955-3034, or 2017 E. Monument Street.