Proceedings of the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data
Language: English
Published by Springer-Verlag, New York, 2004
- Softcover
- Used
Seller: Munster & Company LLC, ABAA/ILAB, Corvallis, OR, U.S.A.Munster & Company LLC, ABAA/ILAB
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New York: Springer-Verlag, 2004. vii, 329 pp. 23.5 x 16 cm. Glossy stiff paper wrappers printed in black and marigold with black and white lettering. Sunning along spine, with some light uneven sunning to rear cover. Some slight curling to extremities of covers. Speckled foxing to edges of text block. Interior is clean and unmarked. Binding is sound and free from any creases or cracks. . Soft Cover. Very Good.
Seller Inventory # 629491
- Title
- Proceedings of the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data
- Author
- Lin, D.Y.; Heagerty, P.J. (editors)
- Publisher
- Springer-Verlag, New York
- Publication year
- 2004
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0387208623
- ISBN 13
- 9780387208626
- Series
- Book 27 of 72: Lecture Notes in Statistics
- Seller catalogs
- Mathematics, New Additions
These conferences are held every five years. This book contains papers by several prominent biostatisticians, which were inspired by the Second Seattle Symposium in Biostatistics.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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