JSM 2014 Home
Online Program Home
My Program

Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.

Activity Details


CE_25C Tue, 8/5/2014, 1:00 PM - 5:00 PM CC-159
Interval-Censored Time-to-Event Data: Methods and Applications — Professional Development Continuing Education Course
ASA
This tutorial provides a thorough presentation of statistical analyses of interval-censored failure time data with detailed illustrations using real data arising from clinical studies and biopharmaceutical applications. The tutorial is partially based on Professor Sun's book "Statistical Analysis of Interval-censored Failure Time Data" published by Springer in 2006 and the recently co-edited book "Interval-Censored Time-to-event Data: Methods and Applications" by Professors Ding-Geng (Din) Chen, Jianguo (Tony) Sun and Karl E. Peace published by Chapman and Hall/CRC in 2012. Specifically, we will start with some basic review of commonly used concepts and the problems of common interest to practitioners. Commonly used statistical procedures will then be discussed and illustrated as well as some recent development in the literature. In addition, some available software functions and packages in R and SAS for the problems considered will be discussed and illustrated. This course was given at "The Annual Deming Conference on Applied Statistics" in 2012 and was extremely well-received.
Instructor(s): Din Chen, University of Rochester, Tony Sun, University of Missouri



2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.