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18 Papke and Wooldridge suggested a generalized linear model to accommodate for proportional data.
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The script created a generalized linear model (GLM) with binomial errors in the response variable.
Effects were tested using a generalized linear mixed effects model with a Poisson error distribution (log link).
glmQLFit was performed, which builds a generalized linear model and then estimates the quasi-likelihood dispersion from the deviance.
Treatment differences were analyzed using a generalized linear mixed model.
The proportion of sequences was scaled by 1,000 and values were converted to integers so that a generalized linear model with a negative binomial distribution could be used.
The genotype-phenotype correlation was performed by a generalized linear regression model.
Here, we characterize the stimulus-response function of auditory neurons using a generalized linear model (GLM).
A generalized linear model (glm) fit gave almost identical results (Figure 1).
LR is a generalized linear model used for binomial regression.
Baseline HDL interactions were tested using a generalized linear model.
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