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

Langue : anglais

Edité par Springer Nature Switzerland AG, CH, 2026

303200988X / 9783032009883

Vendeur : Rarewaves.com USA, London, London, Royaume-UniRarewaves.com USA

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 11 juin 2025

Afficher les articles de ce vendeur
Livre relié

Etat: Neuf

EUR 227,45

 Frais de port gratuits 
Expédition depuis Royaume-Uni vers Etats-Unis

Quantité disponible : Plus de 20 disponibles

Ajouter au panier
Retours gratuits sous 30 jours

Item description from seller

This book formulates methods for modeling continuous and categorical correlated outcomes extending the commonly used methods: generalized estimating equations (GEE) and linear mixed modeling. Partially modified GEE adds estimating equations for variance/dispersion parameters to the standard GEE estimating equations for the mean parameters. Fully modified GEE uses alternate estimating equations for the mean parameters. The new estimating equations in these two cases are generated by maximizing a "likelihood" function related to the multivariate normal density function. Partially modified GEE and fully modified GEE use the standard GEE approach to estimate correlation parameters based on the residuals. Extended linear mixed modeling (ELMM) uses the likelihood function to estimate not only mean and variance/dispersion parameters, but also correlation parameters. Formulations are provided for gradient vectors and Hessian matrices, for a multi-step algorithm for solving estimating equations, and model-based and robust empirical tests for assessing theory-based models. Directly specified correlation structures are considered as well as covariance structures based on random effect/coefficients. Standard GEE, partially modified GEE, fully modified GEE, and ELMM are demonstrated and compared using a variety of regression analyses of different types of correlated outcomes. Example analyses of correlated outcomes include linear regression for continuous outcomes, Poisson regression for count/rate outcomes, logistic regression for dichotomous outcomes, exponential regression for positive-valued continuous outcome, multinomial regression for general polytomous outcomes, ordinal regression for ordinal polytomous outcomes, and discrete regression for discrete numeric outcomes. These analyses also address nonlinearity in predictors based on adaptive search through alternative fractional polynomial models controlled by likelihood cross-validation (LCV) scores. Larger LCV scores indicate better models but not necessarily distinctly better models. LCV ratio tests are used to identify distinctly better models. A SAS® macro has been developed for analyzing correlated outcomes using standard GEE, partially modified GEE, fully modified GEE, and ELMM within alternative regression contexts. This macro and code for conducting the analyses addressed in the book are available as supplementary materials upon request from the author. Detailed descriptions of how to use this macro and interpret its output are provided in the book.

N° de réf. du vendeur LU-9783032009883

Détails bibliographiques

Titre
Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling
Auteur
George J. Knafl
Éditeur
Springer Nature Switzerland AG, CH
Année de publication
2026
État de l'article
New
Reliure
Hardback
Langue
anglais
ISBN à 10 chiffres
303200988X
ISBN à 13 chiffres
9783032009883
Édition
Second Edition 2026.

Rarewaves.com USA

London, London, Royaume-Uni

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 11 juin 2025

Frais d'expédition de Royaume-Uni vers Etats-Unis

Article9 à 14 jours ouvrés9 à 14 jours ouvrés
Premier articleEUR 0,00EUR 0,00
Les délais de livraison sont fixés par les vendeurs et varient en fonction du transporteur et du lieu. Les commandes transitant par les douanes peuvent être retardées et les acheteurs sont responsables de tous les droits ou frais associés. Les vendeurs peuvent vous contacter au sujet de frais supplémentaires afin de couvrir toute augmentation des coûts d'expédition de vos articles.

Modes de paiement

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Profil professionnel du vendeur

RAREWAVES.COM LIMITED

Elsley Court, 20-22 Great Titchfield Street
London, Royaume-Uni W1W 8BE