Ebook: Proceedings of the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data
- Tags: Statistics for Life Sciences Medicine Health Sciences
- Series: Lecture Notes in Statistics 179
- Year: 2004
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-vii
Whither PQL?....Pages 1-22
Correlation and Marginal Longitudinal Kernel Nonparametric Regression....Pages 23-33
Analysis of Multivariate Monotone Missing Data by A Pseudolikelihood Method....Pages 35-50
Quantile Regression for Correlated Observations....Pages 51-69
Small Sample Inference for Clustered Data....Pages 71-87
Some Applications of Indirect Inference to Longitudinal and Repeated Events Data....Pages 89-105
On Characterizing Joint Survivor Functions by Minima....Pages 107-111
Nonparametric Estimation of the Bivariate Survivor Function....Pages 113-142
A Semiparametric Regression Model for Panel Count Data: When Do Pseudo-likelihood Estimators Become Badly Inefficient?....Pages 143-174
Some Biases That May Affect Kin-Cohort Studies for Estimating the Risks from Identified Disease Genes....Pages 175-187
Optimal Structural Nested Models for Optimal Sequential Decisions....Pages 189-326
Back Matter....Pages 327-331
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.
Content:
Front Matter....Pages i-vii
Whither PQL?....Pages 1-22
Correlation and Marginal Longitudinal Kernel Nonparametric Regression....Pages 23-33
Analysis of Multivariate Monotone Missing Data by A Pseudolikelihood Method....Pages 35-50
Quantile Regression for Correlated Observations....Pages 51-69
Small Sample Inference for Clustered Data....Pages 71-87
Some Applications of Indirect Inference to Longitudinal and Repeated Events Data....Pages 89-105
On Characterizing Joint Survivor Functions by Minima....Pages 107-111
Nonparametric Estimation of the Bivariate Survivor Function....Pages 113-142
A Semiparametric Regression Model for Panel Count Data: When Do Pseudo-likelihood Estimators Become Badly Inefficient?....Pages 143-174
Some Biases That May Affect Kin-Cohort Studies for Estimating the Risks from Identified Disease Genes....Pages 175-187
Optimal Structural Nested Models for Optimal Sequential Decisions....Pages 189-326
Back Matter....Pages 327-331
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