All Questions
Tagged with categorical-encoding generalized-linear-model
8 questions with no upvoted or accepted answers
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Interpreting the covariate p-values in a multivariate generalized linear model?
If a covariate in a GLM is "significant" does that mean it is significantly different from the base case (the group not shown)?
Say we have three groups, Control, Exp1, Exp2. We are ...
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When do I have to use orthogonal contrasts instead of non-orthogonal ones?
This is the same question as asked here, but of course I think with a different twist.
A definition of orthogonal contrasts is given in another (great) answer to a popular question on Cross Validated ...
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GLM specifying a subset of contrast matrix for factor variable
I'm fitting a binomial GLM with the following formula:
glm(outcome ~ categorical:continuous:factor)
I would like to see the interaction of categorical and ...
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Can I just use one effect-coded variable instead of two dummy variables when I perform a regression, if there are 3 groups?
To make things simple, let say I ran a basic psychometric experiment and I want to test whether the response time (i.e. a continuous variable) can predict the performance score (i.e. a continuous ...
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Recalculate the standard error using a different base?
I want to run a GLM with a factor, say car type, as one of the independent variables.
Suppose car type has the following levels: sedan, SUV, and truck. And suppose the base level is currently sedan.
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How to handle potential ambiguity when one-hot encoding?
Let's say I have two categorical features: Movie, Director. I one-hot encode both the Movie and Director features for use in a linear regression model.
The problem is that two or more movies may be ...
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Finding the fitted probability for an aliased constraint in a binomial model?
For a binomial model, with probit link function:
model = glm(response~A+B+C, family = binomial("probit"), na.action = na.omit)
where A and B are continuous, C is ...
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Model failed to converge in lme4::glmer() when the a factor is centered or releveled
I'm running a mixed-effects model using glmer() function. The modeling works well with R's default dummy coding. But if I center or relevel a factor of 2 levels, the model failed to converge. I am ...
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