340.728.01 | AY 2013-2014 - 1st Term | 4 Credit(s)
TTh 8:30:00 AM
  • Contact Information
    Alvaro Munoz
    Christopher Cox
  • Course Learning Objectives

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

    • Analyze a moderately complicated real life data set from a large, long-term multicenter cohort study using advanced methods discussed in the lectures
    • write a scientific report with a “Methods” and a “Results” section of a publishable manuscript
  • Course Description
    Explores advanced methods useful for the design and analysis of cohort studies. Emphasizes methods for analyzing time-to-event data subject to staggered entries using advanced parametric and semi-parametric methods including regression tree approaches; analytical methods for incomplete observations in cohort studies; methods to measure effects of exposures on time-to-event using relative times and relative hazards; parametric survival analysis methods and taxonomy of hazard functions; coefficients of determination based on parametric models for survival data; regression methods for trajectories of biomarkers including detection of inflexion points; methods for the analysis of interventions in observational studies: confounding by indication, marginal structural models for individual effectiveness and methods for estimating population effectiveness and the determination of the optimal time to intervene. Methods are based on published papers using data from cohort studies coordinated by

    Additional Faculty Notes:

    The last sentence of the description was incomplete. It should read: "Methods are introduced based on published papers using data from cohort studies coordinated by the instructors’ research team."

  • Intended Audience
    Required for students in General Epidemiology and Methods and in Infectious Disease Epidemiology and recommended for all doctoral students in Epidemiology and master students with interests in cohort studies and/or advanced qualitative methods.
  • Methods of Assessment
    Student evaluation based on preparation of a report in the style of "methods and results" section of a paper - based on the analysis of a dataset distributed at the beginning of the course.
  • Prerequisites
    340.752; 140.622.or 140.652; Prior or concurrent enrollment 340.753. Knowledge of statistical package.
  • Course Schedule

    Please see the course Session for a full list of dates and items for this course.

  • Academic Ethics Code

    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.

  • Welcome Message
    Welcome to the Web supplement for ADVANCED METHODS FOR DESIGN AND ANALYSIS OF COHORT STUDIES (340.728.01), a course offered by the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health.
  • Disability Support Services
    If you are a student with a documented disability who requires an academic accommodation, please contact the Office of Student Life Services at 410-955-3034 or via email at