Time to failure, time to event, survival time -- it's all
basically the same statistical model. The outcome of interest
is the length of time that elapses before something (whether
good or bad) happens, and you can learn how to model this in
statistics.com's online course “Survival Analysis,” March 25 –
April 22, with Prof. Matthew Strickland and Dr. David Kleinbaum.
Mar 11: Biostatistics 2
Mar 11: Logistic Regression
Mar 25: Survival Analysis (more below)
Mar 25: Adaptive Designs for Clinical Trials
Apr 15: Advanced Logistic Regression
Jun 3: Epi 1: Fundamentals of Epidemiology
“Survival Analysis” describes the various methods used for
modeling and evaluating survival data, also called time-to-event
data. Survival models are used in a variety of health and social
sciences, including biostatistics, epidemiology, anthropology,
sociology, psychology and economics. In engineering applications,
the topic is called "time-to-failure" analysis. General
statistical concepts and methods discussed in this course include
survival and hazard functions, Kaplan-Meier graphs, log-rank and
related tests, Cox proportional hazards model, and the extended
Cox model for time-varying covariates.
Dr. Kleinbaum is internationally known for his textbooks in
statistical and epidemiologic methods and as an outstanding
teacher. His popular text “Survival Analysis – A Self Learning
Text” is the text for this course. He has also taught over 150
short courses over the past 30 years throughout the world.
Prof. Mathew Strickland is Assistant Professor in the Department
of Environmental and Occupational Health at Emory University. He
has taught a variety of in-person and distance education courses
on Epidemiologic Modeling, Fundamentals of Epidemiology, and
Maternal/Child Health Epidemiology. He and David Kleinbaum have
taught the survival analysis course at statistics.com since 2006.
His research interests are air pollution epidemiology, birth
defects epidemiology, and epidemiology methods. Participants can
ask questions and exchange comments with Prof. Strickland via
a private discussion board throughout the period.
This course takes place at statistics.com in a series of 4
weekly lessons and assignments, and requires about 15 hours/week.
Participate at your own convenience; there are no set times
when you are required to be online.
You may leave the list at any time by sending the command
to [log in to unmask], leaving the subject line blank.