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Proceedings of the Second Seattle Symposium in Biostatistics : Analysis of Correlated Data

Author: D Y Lin; P J Heagerty
Publisher: New York, NY : Springer New York : Imprint : Springer, 2004.
Series: Lecture notes in statistics (Springer-Verlag), 179.
Edition/Format:   eBook : Bibliographic data : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Material Type: Bibliographic data, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: D Y Lin; P J Heagerty
ISBN: 9781441990761 1441990763 0387208623 9780387208626
OCLC Number: 840276753
Description: 1 online resource (VII, 329 pages).
Contents: N. Breslow. Whither PQL?- O.B. Linton, E. Mammen, X. Lin and R.J. Carroll. Correlation and Marginal Longitudinal Kernel Nonparametric Regression --
G. Tang, R.J.A. Little and T.E. Raghunathan. Analysis of Multivariate Monotone Missing Data by a Pseudolikelihood Method --
L. Chen, L.J. Wei and M.I. Parzen. Quantile Regression for Correlated Observations --
Z. Feng, T. Braun and C. McCulloch. Small Sample Inference for Clustered Data --
W. Jiang and B.W. Turnbull. Some Applications of Indirect Inference to Longitudinal and Repeated Events Data --
D. Oakes. On Characterizing Joint Survivor Functions by Minima --
R.L. Prentice, Z. Moodie and J. Wu. Nonparametric Estimation of the Bivariate Survivor Function --
J.A. Wellner, Y. Zhang and H. Liu. A Semiparametric Regression Model for Panel Count Data: When do Pseudolikelihood Estimators Become Badly Inefficient? --
M. Gail and N. Chatterjee. Some Biases That May Affect Kin-Cohort Studies for Estimating the Risks from Identified Disease Genes --
J. Robins. Optimal Structural Nested Models for Optimal Sequential Decisions.
Series Title: Lecture notes in statistics (Springer-Verlag), 179.
Responsibility: edited by D.Y. Lin, P.J. Heagerty.

Abstract:

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.

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