Introduction

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

Chapter Chapter 1 in Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling, 2026, pp 1-7 from Springer

Abstract: Abstract An overview is provided of the material covered in the book. Methods are formulated in the book for modifications/extensions of generalized estimating equations (GEE) and of linear mixed modeling (LMM) based on maximizing a likelihood function to generate estimating equations to solve for parameter estimation. Example analyses are also provided in the book applying these methods to a variety of correlated sets of outcomes and using adaptive regression for modeling possible nonlinear relationships for those outcomes. Supplementary materials are also available online or upon request from the author.

Keywords: Adaptive regression modeling; Correlated outcomes; Extended linear mixed modeling; Generalized estimating equations (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-00989-0_1

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DOI: 10.1007/978-3-032-00989-0_1

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