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, 2023, 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 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.

Keywords: Adaptive regression modeling; Correlated outcomes; Extended linear mixed modeling; Generalized estimating equations (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-41988-1_1

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DOI: 10.1007/978-3-031-41988-1_1

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