query: Is it acceptable to transform data for use in a GLM using Poisson?
positive_passages.docid: 142752
positive_passages.text: Should quantitative predictors be transformed  to be normally distributed?
negative_passages.docid: 82548
negative_passages.text: Scaling vs Offsetting in Quasi-Poisson GLM
negative_passages.docid: 79959
negative_passages.text: Choosing between transformations in logistic regression
negative_passages.docid: 36341
negative_passages.text: Am I statistically allowed to use a binomial family here -> is my data truly independent?
negative_passages.docid: 91025
negative_passages.text: How should I transform non-negative data including zeros?
negative_passages.docid: 122599
negative_passages.text: Calculation of canonical link function in GLM
negative_passages.docid: 87145
negative_passages.text: Identical coefficients estimated in Poisson vs Quasi-Poisson model
negative_passages.docid: 9758
negative_passages.text: Why do we use GLM?
negative_passages.docid: 26721
negative_passages.text: How to decide which glm family to use?
negative_passages.docid: 17522
negative_passages.text: Quasi Poisson vs Negative Binomial
negative_passages.docid: 129169
negative_passages.text: Transforming positively skewed data with positive and negative values
negative_passages.docid: 99075
negative_passages.text: Interpreting residual diagnostic plots for glm models?
negative_passages.docid: 120542
negative_passages.text: Should the predictor variables be normally distributed for Poisson glm?
negative_passages.docid: 148732
negative_passages.text: Conditional Distribution of Poisson Variables, given $\sum X_i$
negative_passages.docid: 108147
negative_passages.text: count data that does not follow poisson distribution
negative_passages.docid: 60423
negative_passages.text: Are there concerns with doing a generalized additive model with a smoothing term of multiple variables?
negative_passages.docid: 53308
negative_passages.text: Back transforming regression results when modeling log(y)