140.850.01 | AY 2013-2014 - 4th Term | 99 Credit(s)
12:00:00 AM
  • Contact Information
  • Course Learning Objectives
    As the content of this course varies from year to year, the course objectives will, as well. Generally, upon successful completion of this course, students will be able to do the following for the specific topic areas covered: 1) identify the central issues; 2) demonstrate knowledge of key models, estimation strategies, theoretical properties, and data displays; 3) describe steps for implementing analyses of relevant data 4) engage in related statistical research.
  • Course Description

    Exposes Biostatistics PhD students to advanced special topics that are not covered in the core courses. Comprises two- and four-week modules, with revolving instructors and topics. Possible topics include: theory underlying analysis for correlated data; latent variable modeling; advanced survival analysis; image analysis; time series; and likelihood inference.

  • Intended Audience

    Biostatistics PhD students in their 2nd year and beyond

  • Methods of Assessment

    Grading Policy: Depends on topic

    Grading Restrictions: Pass and Fail

  • Prerequisites

    Ph.D. core courses or consent from the instructors

  • 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.