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Proceedings of the Second Seattle Symposium in Biostatistics

Analysis of Correlated Data

  • D. Y. Lin
  • P. J. Heagerty

Part of the Lecture Notes in Statistics book series (LNS, volume 179)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Norman Breslow
    Pages 1-22
  3. Oliver B. Linton, Enno Mammen, Xihong Lin, Raymond J. Carroll
    Pages 23-33
  4. Gong Tang, Roderick J. A. Little, Trivelore E. Raghunathan
    Pages 35-50
  5. Li Chen, Lee-Jen Wei, Michael I. Parzen
    Pages 51-69
  6. Ziding Feng, Thomas Braun, Charles McCulloch
    Pages 71-87
  7. Ross L. Prentice, Zoe Moodie, Jianrong Wu
    Pages 113-142
  8. Back Matter
    Pages 327-331

About this book

Introduction

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.

Keywords

Estimator Likelihood biostatistics correlation data analysis statistics

Editors and affiliations

  • D. Y. Lin
    • 1
  • P. J. Heagerty
    • 2
  1. 1.School of Public Health, Department of Biostatistics, CB #7420University of North CarolinaChapel HillUSA
  2. 2.School of Public Health and Community Medicine, Department of BiostatisticsUniversity of WashingtonSeattleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-9076-1
  • Copyright Information Springer Science+Business Media, Inc. 2004
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-20862-6
  • Online ISBN 978-1-4419-9076-1
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site