Generalized estimating equations: A pragmatic and flexible approach to the marginal GLM modelling of correlated data in the behavioural sciences

By S. Pekár, M. Brabec. 2018

170 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Small Animals

View Paper: https://www.semanticscholar.org/paper/e989437ace26f2ef733ba84c4ec4d61f6153c8f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. Francis L. Huang

In Genetics

1. Francis L. Huang

In Small Animals

1. Francis L. Huang

Citations in the corpus

• Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations (2021, methodology): “At times, GEEs may be described as models (e.g., a GEE model; Hardin & Hilbe, 2013; Kleinbaum & Klein, 2010), but technically, a GEE is an approach or method to estimate the parameters of a GLM (McNeish, 2019; Pekár & Brabec, 2018).”