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Member Training: Analysis of Crossover Data

December 1st, 2025 by

Cross-over trials provide a very powerful approach for comparing two treatment conditions. Research subjects get both treatment conditions, which we will label arbitrarily as A and B.
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Member Training: Marginal Models for Repeated Measures Data

September 2nd, 2025 by

Repeated measures ANOVA doesn’t cut it for many repeated measures situations, but do you always need mixed models instead?

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Member Training: Cubic Splines

July 2nd, 2025 by

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.

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Member Training: Introduction to Data Analysis using R Tutorial

June 12th, 2025 by

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:

  • have never used R before
  • need to refresh their R skills after not using it for while
  • have figured out R on their own and would like a more systematic tutorial

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Member Training: Interpreting (Even Tricky) Regression Coefficients Workshop

April 1st, 2025 by

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.

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Member Training: Confirmatory Factor Analysis

March 3rd, 2025 by

There are two main types of factor analysis: exploratory and confirmatory.

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