2015
DOI: 10.1016/j.csda.2014.08.008
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Cook’s distance for generalized linear mixed models

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Cited by 22 publications
(19 citation statements)
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“…Evaluation of model residuals was used to identify outliers and/or influential observations (i.e., data points with high leverage). We calculated Cook's distance for GLMM (Pinho, Nobre, & Singer, 2015) to detect influential observations.…”
Section: Discussionmentioning
confidence: 99%
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“…Evaluation of model residuals was used to identify outliers and/or influential observations (i.e., data points with high leverage). We calculated Cook's distance for GLMM (Pinho, Nobre, & Singer, 2015) to detect influential observations.…”
Section: Discussionmentioning
confidence: 99%
“…Following a conservative criterion, observations with Cook's distance over percentile 99 for both fixed and random effects (Pinho et al, 2015) were excluded (n = 7) and models were then re-fitted.…”
Section: Discussionmentioning
confidence: 99%
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“…First, we used Cleveland plots between each covariate and the response variable (Zuur, Ieno & Elphic ). Secondly, we calculated Cook's distances with formulas proposed for GLMM (Xiang, Tsea & Lee ; Pinho, Nobrea & Singerb ). Thirdly, we conducted an influential‐cases analysis to quantify the extent to which model parameters are affected by removal of observations (Van der Meer, Te Grotenhuis & Pelzer ).…”
Section: Methodsmentioning
confidence: 99%
“…Thus, it is necessary to use a measure that is useful for evaluation in such cases. In this sense, an extension of the measure of influence proposed by Xiang, Tse, and Lee (2002) was proposed by Pinho, Nobre, and Singer (2015). This extension takes into account the aspects described above.…”
Section: Diagnostic Analysismentioning
confidence: 99%