New LearnSTAT Course
for Spring 2008
Analysis of Censored Data
A one-day course on April 18, 2008, presented by Danyu Lin, Department of
Biostatistics, The University of North Carolina at Chapel Hill
Location:
ASA Office
Alexandria, Virginia (Near Washington, DC)
Registration Fee:
$475 for ASA members
$375 for students
$615 for nonmembers
(Registration fee includes handout materials, lunch, and refreshments for morning and afternoon breaks)
Registration Deadline: April 11, 2008
Register online at
www.amstat.org/education
Course description:
Many scientific studies are concerned with the times of the occurrences of certain events. A common complica-
tion is that the event times are censored on some study subjects due to drop-outs or study termination. There
have been tremendous developments of statistical theory and methods for analyzing censored event time data
in the last three decades. The purpose of this short course is to review some of the key developments. We will
provide a heuristic introduction to the counting-process martingale theory. We will then use this powerful tool
to understand the properties of commonly used statistics, such as Kaplan-Meier estimator, (weighted) log-rank
tests, and Cox proportional hazards regression. We will address practical issues in applying the Cox model to
real studies, including variable selection, model checking, model misspecification, and robust inference. We also
will review recent advances in the field, including analysis of multiple-events data, informative drop-out, and joint
modeling of repeated measures and event times. Relevant software will be described. A number of clinical and
epidemiologic studies will be provided for illustration.
Materials will be presented at a nontechnical level. Although cutting-edge research will be discussed, this course
is targeted at applied statisticians (particularly clinical trial statisticians) who wish to analyze their data with the
best available methods. Basic knowledge in mathematical statistics and linear models is required. No prior knowl-
edge of survival analysis is necessary. There is no required textbook, although a useful reference is The Statistical
Analysis of Failure Time Data by J. D. Kalbfleisch and R. L. Prentice (2002).
For more information and to register, visit
www.amstat.org/education and click on the link for this course.
Questions? Email
LearnSTAT@amstat.org or call (703) 684-1221, Ext. 1864.
20 AMSTAT NEWS JANUARY 2008
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