An Introduction to Generalized Linear Models

By M. Borja. 2009

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Kill rates and predation patterns of jaguars (Panthera onca) in the southern Pantanal, Brazil (2010, positive): “We 1st used generalized linear models (Dobson 1990) using package ‘‘MASS’’ with procedure ‘‘glm’’ in program R (version 2.6.0—”
Breeding Ecology of Whiskered Terns in Algeria, North Africa (2002, methodology): “In the analysis of the proportion of eggs hatched or hatchability (binomial error) the generalized linear model approach was applied (Dobson 1990).”
On the behaviour and adaptation of office occupants (2008, methodology): “Parameters a and b are then obtained through regression using the binomial family of generalised linear models, specifying the logit as the link function (see [ 10 ] for an introduction to these statistical methods).”
Surface modelling of soil properties based on land use information (2011, methodology): “RK_GLM The trend was modeled by means of a generalized linear model (GLM) (McCullagh and Nelder, 1989; Dobson, 1990; Gotway and Stroup, 1997; Diggle et al., 1998; McBratney and Walvoort, 2001; Lane, 2002; Diggle and Ribeiro, 2007).”
Desirability bias in foresight: Consequences for decision quality based on Delphi results (2011, methodology): “In this case, there is no need to use a Logit transformation because the explanatory variables are dummy variables indicating the levels of desirability [72].”