Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling

George J. Knafl ()
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George J. Knafl: University of North Carolina at Chapel Hill, School of Nursing

in Springer Books from Springer

Date: 2026
Edition: Second Edition 2026
ISBN: 978-3-032-00989-0
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Chapters in this book:

Ch Chapter 1 Introduction

George J. Knafl

Ch Chapter 10 Multinomial Regression

George J. Knafl

Ch Chapter 11 Ordinal Regression

George J. Knafl

Ch Chapter 12 Discrete Regression

George J. Knafl

Ch Chapter 13 Example Multinomial and Ordinal Regression Analyses

George J. Knafl

Ch Chapter 14 Example Discrete Regression Analyses

George J. Knafl

Ch Chapter 15 Alternative Analyses

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Ch Chapter 16 Additional Example Analyses

George J. Knafl

Ch Chapter 2 Standard GEE Modeling of Correlated Univariate Outcomes

George J. Knafl

Ch Chapter 3 Partially Modified GEE Modeling of Correlated Univariate Outcomes

George J. Knafl

Ch Chapter 4 Fully Modified GEE Modeling of Correlated Univariate Outcomes

George J. Knafl

Ch Chapter 5 Extended Linear Mixed Modeling of Correlated Univariate Outcomes

George J. Knafl

Ch Chapter 6 Example Analyses of the Dental Measurement Data

George J. Knafl

Ch Chapter 7 Example Analyses of the Epilepsy Seizure Rate Data

George J. Knafl

Ch Chapter 8 Example Analyses of the Dichotomous Respiratory Status Data

George J. Knafl

Ch Chapter 9 Example Analyses of the Blood Lead Level Data

George J. Knafl

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DOI: 10.1007/978-3-032-00989-0

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