140.606.11 | AY 2013-2014 - Summer Inst. Term | 2 Credit(s)
MTWThF 1:30:00 PM
  • Contact Information
    Chiung-Yu Huang
    Paige Maas
  • Course Learning Objectives

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

    • Describe fundamental concepts in survival analysis
    • Utilize statistical methods which are useful in medical follow-up studies and in general time-to-event studies
    • The following topics are included in this course: censoring, truncation, hazard and survival functions, Kaplan-Meier estimator, log-rank tests, Cox proportional hazards model
  • Course Description
    This introductory course introduces fundamental concepts and techniques of survival analysis including censoring, hazard and survival functions, Kaplan-Meier curves and logrank tests. Parametric inferences are introduced using the exponential and Weibull distributions. Regression analysis of the Cox proportional hazards model, and its extensions to time-dependent covariates, will also be introduced. Special topics, such as non-proportional hazards models and multivariate survival times, will be discussed. An important focus of the course will be using data sets from clinical and epidemiological studies to illustrate the introduced statistical methods and show how to make scientific interpretations from the numerical results. SAS and Stata will be the computation softwares used in class. Students can also choose a software based on their own preference when doing exercises.
  • Intended Audience
    JHSPH studetns adn SI participants
  • Methods of Assessment
    Method of student evaluation based on problem sets and an 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