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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| CE_15C | Mon, 8/7/06, 8:00 AM - 12:00 PM | CC-304 |
| Analysis of Multivariate Failure Time Data - Continuing Education - Course | ||
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The ASA, Section on Nonparametric Statistics |
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| Instructor(s): Danyu Lin, The University of North Carolina at Chapel Hill | ||
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Multivariate failure time data arise when each study subject can experience multiple events or when there exists clustering of subjects such that failure times within the same cluster are correlated. Major complications in analyzing such data include the dependence among related failure times and censoring due to limited follow-up or competing events. This course presents a variety of statistical models and methods for the analysis of these data. We discuss marginal and frailty models, paying primary attention to semiparametric regression methods. Relevant software will be described and a number of clinical and epidemiologic studies will be provided. Course attendees are expected to be familiar with the topic at the level of: |
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JSM 2006
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |