Proceedings of the Second Seattle Symposium in Biostatistics
Analysis of Correlated Data
(Sprache: Englisch)
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...
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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.
Inhaltsverzeichnis zu „Proceedings of the Second Seattle Symposium in Biostatistics “
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.
Autoren-Porträt
PATRICK J. HEAGERTY is an associate professor in the Department of Biostatistics at the University of Washington in Seattle and an associate member at the Fred Hutchinson Cancer Research Center.
Bibliographische Angaben
- 2004, VII, 331 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Danyu Lin, Patrick J. Heagerty
- Verlag: Springer, Berlin
- ISBN-10: 0387208623
- ISBN-13: 9780387208626
- Erscheinungsdatum: 20.01.2005
Sprache:
Englisch
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