# Questions tagged [log-linear]

The log-linear model is a form of Poisson regression that allows for the analysis of multi-way contingency tables.

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### log-linear modelling: transforming y variable

I am conducting a study on graphical log-linear modelling and my aim is to fit a log-linear model to data. I am using R studio to carry out the analysis and I am using the glm function. When first ...
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### How Can I Interpretation in loglinear regressions with coefficients greater than 1

I run a loglinear regression and got dummy variable coefficient for education level bigger than one. It's also significant and my depend variable's log wage. How would I go about to interpret the 2.21?...
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### Correlation of categorical data to binomial response in R

I'm looking to analyze the correlation between a categorical input variable and a binomial response variable, but I'm not sure how to organize my data or if I'm planning the right analysis. Here's my ...
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### Mean of predicted values in a log-linear model

I run a log linear model $$\log(Y)=\alpha + \beta X + \epsilon$$ and wonder how to calculate the mean of predicted values, in the same dimension as the initial (untransformed) variable Y. I would ...
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### Log-linear fit and parameters in case of perfectly correlated variables

Here is an example case. Take the following ´data´: ...
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### Check if dropout rates are independent for an interaction of two independent variables (one with a large amount of levels)

I am trying to analyse dropout rates in an experiment, but there are multiple issues which collide, and I don't know how to deal with them as a whole. First, find a list of those issues. Below, see a ...
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### interpreting a log-log-linear model of two continous variables with or without interaction terms

I am regressing ecological distances between communities (as expressed as similarity) over their spatial and temporal distance on a regular grid of 360 sampling stations divided over six time points. ...
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### Statsmodels - 'corrected predictors' on log-linear models?

I'm currently working through an econometrics book , and in the section about log linear models it is stated that predictions made with ...
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### Log-linear model for contingency table with no fixed count

I have table of counts of born children with four two-level factor variables (mother smoker/nonsmoker, child born dead/alive, ..). I would like to use log-linear model to understand interactions of ...
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