Tagged Questions
0
votes
0answers
24 views
How to interpret results of GLM with a beta distribution in R?
I'm currently working on a project where my model is a GLM with a beta distribution. The dependent variable is bimodal. I've done this before, in Stata, but I'm having some difficulty interpreting ...
2
votes
1answer
421 views
Percent correctly predicted of logit model
Is there a standard way to report the percent correctly predicted when predicting a binary outcome? Using glm in r, the results are predicted probabilities. However, in order to make a comparison to ...
2
votes
2answers
866 views
Interpreting coefficients of an interaction between categorical and continuous variable
I have a question about the interpretation of the coefficients of an interaction between continuous and categorical variable.
here is my model:
...
1
vote
0answers
213 views
Abusing Linear Models under Multicollinearity: Simulation for 'realistic' movement of predictors
I have a reasonable understanding of why multicollinearity is a problem is regression models, along the lines of this excellent post.
To summarise my understanding, for a regression model of $y = ...
4
votes
2answers
395 views
Why do AIC and BIC show inversed outputs?
I am comparing three relatively simple GLMs having a Gamma distribution with AIC and BIC. The aim is to identify the effects of fertilizers (fdung), year and site on biomass of a specific grass ...
5
votes
1answer
2k views
What is the difference between generalized estimating equations and GLMM?
I'm running a GEE on 3-level unbalanced data, using a logit link. How does this differ (in terms of the conclusions I can draw and the meaning of the coefficients) from a GLM with mixed effects ...
