Editors:
- Contained encompass recent methodological advances in several important areas, such as Longitudinal Data, Multivariate Failure Time Data and Genetic Data, as well as innovative applications of the existing theory and methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 179)
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Table of contents (11 papers)
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Front Matter
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Back Matter
About this book
This volume contains a selection of papers presented at the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data. The symposium was held in 2000 to celebrate the 30th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lectures by Norman Breslow, David Cox and Ross Prentice and 16 invited presentations by other prominent researchers. The papers contained in this volume encompass recent methodological advances in several important areas, such as longitudinal data, multivariate failure time data and genetic data, as well as innovative applications of the existing theory and methods. This volume is a valuable reference for researchers and practitioners in the field of correlated data analysis.
Editors and Affiliations
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School of Public Health, Department of Biostatistics, CB #7420, University of North Carolina, Chapel Hill, USA
D. Y. Lin
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School of Public Health and Community Medicine, Department of Biostatistics, University of Washington, Seattle, USA
P. J. Heagerty
Bibliographic Information
Book Title: Proceedings of the Second Seattle Symposium in Biostatistics
Book Subtitle: Analysis of Correlated Data
Editors: D. Y. Lin, P. J. Heagerty
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-1-4419-9076-1
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Softcover ISBN: 978-0-387-20862-6Published: 20 January 2005
eBook ISBN: 978-1-4419-9076-1Published: 06 December 2012
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: VII, 331
Topics: Statistics for Life Sciences, Medicine, Health Sciences