Fast forward selection for generalized estimating equations with a large number of predictor variables

DOI10.1111/BIOM.12118zbMath1419.62177OpenAlexW1528030593WikidataQ46957901 ScholiaQ46957901MaRDI QIDQ4979236

David I. Warton, Heloise Gibb, Jakub Stoklosa

Publication date: 17 June 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12118

zbMATH Keywords

model selectionmultivariate analysisgeneralized estimating equationsinformation criterionecologynegative binomial regressionscore statisticstrait/environment relationship

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Ecology (92D40)

Related Items (5)

GEE-Assisted Forward Regression for Spatial Latent Variable Models ⋮ Modelling the covariance structure in marginal multivariate count models: hunting in Bioko Island ⋮ GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data ⋮ Model selection in the weighted generalized estimating equations for longitudinal data with dropout ⋮ A Generalized Estimating Equation Approach to Multivariate Adaptive Regression Splines

Uses Software

• SAS
• STEPCEE

Cites Work

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