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Proceedings of the Second Seattle Symposium in Biostatistics

Analysis of Correlated Data

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. D. Y. Lin

    1. School of Public Health, Department of Biostatistics, CB #7420, University of North Carolina, Chapel Hill, USA

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  2. P. J. Heagerty

    1. School of Public Health and Community Medicine, Department of Biostatistics, University of Washington, Seattle, USA

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    You can also search for this editor in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-vii
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  2. Whither PQL?

    • Norman Breslow
    Pages 1-22

  3. Correlation and Marginal Longitudinal Kernel Nonparametric Regression

    • Oliver B. Linton, Enno Mammen, Xihong Lin, Raymond J. Carroll
    Pages 23-33

  4. Analysis of Multivariate Monotone Missing Data by A Pseudolikelihood Method

    • Gong Tang, Roderick J. A. Little, Trivelore E. Raghunathan
    Pages 35-50

  5. Quantile Regression for Correlated Observations

    • Li Chen, Lee-Jen Wei, Michael I. Parzen
    Pages 51-69

  6. Small Sample Inference for Clustered Data

    • Ziding Feng, Thomas Braun, Charles McCulloch
    Pages 71-87

  7. Some Applications of Indirect Inference to Longitudinal and Repeated Events Data

    • Wenxin Jiang, Bruce W. Turnbull
    Pages 89-105

  8. On Characterizing Joint Survivor Functions by Minima

    • David Oakes
    Pages 107-111

  9. Nonparametric Estimation of the Bivariate Survivor Function

    • Ross L. Prentice, Zoe Moodie, Jianrong Wu
    Pages 113-142

  10. A Semiparametric Regression Model for Panel Count Data: When Do Pseudo-likelihood Estimators Become Badly Inefficient?

    • Jon A. Wellner, Ying Zhang, Roo Liu
    Pages 143-174

  11. Some Biases That May Affect Kin-Cohort Studies for Estimating the Risks from Identified Disease Genes

    • Mitchell Gail, Nilanjan Chatterjee
    Pages 175-187

  12. Optimal Structural Nested Models for Optimal Sequential Decisions

    • James M. Robins
    Pages 189-326

  13. Back Matter

    Pages 327-331
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Keywords

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

  • School of Public Health, Department of Biostatistics, CB #7420, University of North Carolina, Chapel Hill, USA

    D. Y. Lin

  • 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

  • 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

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