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140.641.01 SURVIVAL ANALYSIS I

Department: Biostatistics
Term: 1st term
Credits: (3 credits)
Contact: Mei-Cheng Wang
Academic Year: 2012 - 2013
Course Instructor:
Description:

Discusses basic concepts of survival analysis, including hazard functions, survival functions, types of censoring and truncation, Kaplan-Meier estimates, log-rank tests and their generalization. Parametric inference includes likelihood estimation and the exponential, Weibull, log-logistic and other relevant distributions. Statistical methods and theory for the proportional hazard models (Cox model) discussed in detail, with extensions to time-dependent covariates. Clinical and epidemiological examples included in class presentation and homework illustrate various statistical procedures.
Student Evaluation: Student evaluation based on problem sets and an exam.
Learning Objective:

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

1. Explain fundamental concepts in survival analysis. 2. Describe statistical methods which are useful in medical follow-up studies and in general time-to-event studies.
Location: Baltimore
Class Times:
  • Tuesday 3:30 - 4:50
  • Thursday 3:30 - 4:50
Enrollment Minimum: 10
Instructor Consent: Consent required for some students

Consent required for non-Biostatistics students
For consent, contact: mcwang@jhsph.edu
Prerequisite:

Biostatistics 140.651 or equivalent. Knowledge of probability and statistical theory is required. Non-biostatistics students need permission from instructor.
Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Catalog Subcommittee Actions: TermId, CourseTitle, CourseDesc, CourseLearningObj, Prerequisite, InstructorConsentId, ConsentNote, TargetAud, CourseLocation, CourseFormat, IRBSurvey, AuditorsAllowedId, CourseOfferRationaleNote, ContactPerson, ContactEmail, StartingOfferYear, CatalogStatus, RepeatableRetakable, ScheduleTypeId, LabScheduleTypeId, KeywordId, .05/03/2010;