Splines provide a useful way to model relationships that are more complex than a simple linear function. They work with a variety of regression models.
Splines provide a useful way to model relationships that are more complex than a simple linear function. They work with a variety of regression models.
This month we are featuring a 9-module software tutorial by Kim Love: An Introduction to Data Analysis using R.
It’s perfect for people who:
In April and May, we’re doing something new: including in membership the workshop Interpreting (Even Tricky) Regression Coefficients with Karen Grace-Martin.
We’ll be releasing the first 3 of 6 modules in April and modules 4-6 in May and holding a special Q&A with Karen at the end of each month.
If you’ve ever wanted to know how to interpret your results or set up your model to get the information you needed, you’ll love this workshop.
Although it’s at Stage 2 and focuses entirely on linear models, everything applies to all sorts of regression models — logistic, multilevel, count models. All of them.
Binary logistic regression is one of the most useful regression models. It allows you to predict, classify, or understand explanatory relationships between a set of predictors and a binary outcome.
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