BAYESIAN ADAPTIVE TRIALS Syllabus

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

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

    • demonstrate skills in adaptive designs, Bayesian analysis and Bayesian computation
    • assess sets of real-life Bayesian adaptive designs and evaluate considerations that went into each design, and the adaptive decisions that are made in each trial
  • Course Description
    Presents Bayesian adaptive designs and teaches students the skills and considerations necessary to construct such designs. Examines the operating characteristics of Bayesian adaptive designs and the benefits and costs of interim analyses, in particular within the regulatory framework.
  • Intended Audience
    JHSPH students adn Summer Institute participants
  • Methods of Assessment
    Exam
  • 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.

  • 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 dss@jhsph.edu.