Additional Example Analyses

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

Chapter Chapter 16 in Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling, 2023, pp 485-512 from Springer

Abstract: Abstract Adaptive analyses are conducted in this chapter of data sets not considered in prior analyses using analysis strategies determined from those prior analyses. Analyses are conducted of cross-sectionally measured correlated outcomes provided by single mothers on three scales measuring family management of a child’s chronic condition (e.g., diabetes, Crohn’s disease, cystic fibrosis). Analyses are also provided of cross-sectionally measured correlated dyadic outcomes with some missing outcome values as provided by partnered parents of a child having a chronic condition using measures assessing the child’s conduct-disordered behaviors. These dyadic analyses are based on three related outcomes including a continuous outcome treated as normally distributed, a count outcome treated as Poisson distributed, and a dichotomous outcome treated as Bernoulli distributed. Extended linear mixed modeling (ELMM) is used to conduct all analyses. Whether non-constant or unit dispersions are appropriate is addressed as well as adaptive additive and adaptive moderation modeling. A comparison of results for extended variance modeling and direct variance modeling is also provided when appropriate.

Keywords: Childhood chronic conditions; Direct variance modeling; Extended linear mixed modeling; Moderation; Non-constant dispersions (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_16

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DOI: 10.1007/978-3-031-41988-1_16

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