Akaike's Information Criterion in Generalized Estimating Equations

By Wei Pan. Biometrics, 2001

2,470 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d1e77111d45d4299e91c5b3beb9318a381d4d27c

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Citations in the corpus

Consistent model selection and data‐driven smooth tests for longitudinal data in the estimating equations approach (2009, methodology): “Example 2: discrete responses The simulation setting is the same as that of Pan (2001). The response variable Yij is binary and its marginal mean μij is”
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons (2011, background): “However, further advances include generalized estimating equations (see Qin and Lawless 1994 and Pan 2001a and b).”
Association of predators and prey at frontal features in the California Current: competition, facilitation, and co-occurrence (2009, neutral): “Instead we used the quasi-likelihood under independence criteria (QIC) developed by Pan (2001) to find a best approximating model given the data and the model set.”
Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations (2021, methodology): “Measures such as the Rotnizky and Jewell (1990) criterion, the quasi-likelihood under independence criterion (Pan, 2001), and the correlated information criterion (Hin & Wang, 2009) have been used to aid in selecting the appropriate working correlation matrix where models with different correlation ”
On the Unnecessary Ubiquity of Hierarchical Linear Modeling (2017, methodology): “As an alternative, Pan (2001) developed the Quasi-Likelihood Information Criteria (QIC) that extends the idea of AIC to GEE where lower values indicate better fit.”
Subject specific and population average models for binary longitudinal data: a tutorial (2013, methodology): “One way to choose between different matrices is to use the quasi-likelihood information criterion (qIC) (Pan 2001).”
Informative Estimation and Selection of Correlation Structure for Longitudinal Data (2012, methodology): “This is different from other correlation structure selection approaches such as comparing Akaike’s information criteria (Pan 2001) or correlation information criteria (Hin and Wang 2009).”
Spontaneous revegetation of mined peatlands in eastern Canada (2005, methodology): “We considered 18 models, for which we had a biological rationale, to explain Sphagnum cover and richness, and we ranked the models based on the second-order Akaike Information Criterion corrected for over dispersion (QAICc; Pan 2001).”
Mixed Effects Models and Extensions in Ecology with R (2009, methodology): “It is called quasilikelihood under the independence model information criterion (QIC) after a paper from Pan (2001).”