140.741.01 | AY 2013-2014 - 2nd Term | 3 Credit(s)
TTh 3:30:00 PM
  • Contact Information
    Mei-Cheng Wang
  • Course Learning Objectives

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

    • Conduct statistical analysis for numerous types of sophisticated survival data
    • Discuss papers published in statistical journals
    • Provide examples of prevalent and multivariate survival data arising in public health studies
    • discuss dissertation topics in advanced survival analysis
  • Course Description
    Introduces statistical models and methods useful for analyzing univariate and multivariate failure time data. Extends Survival Analysis I to topics on length-bias and prevalent samplings, martingale theory, multivariate survival data, time-dependent ROC analysis, and recurrent event processes. Emphasizes nonparametric and semiparametric approaches for modeling, estimation and inferential results. Clinical and epidemiological examples included in class presentation illustrate statistical procedures.
  • Intended Audience
    Biostatistics students and quantitatively-oriented students from other departments
  • Methods of Assessment
    Homework sets and in-class exam

    Additional Faculty Notes:

    Grading is based on homework and a final report.

  • Prerequisites
    Biostatistics 140.651 or equivalent, and 140.641 (Survival Analysis I ). Knowledge of probability and statistical theory is required. Non-biostatistics students need permission from instructor.
  • 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