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Member Training: Linear Model Assumption Violations: What’s Next?

June 30th, 2023 by

What do you do if the assumptions of linear models are violated?
(more…)


Member Training: Exact and Randomization Tests

June 2nd, 2023 by

Exact and randomization tests are simple from a conceptual level and need fewer assumptions than traditional parametric tests. They do require substantial computing power, but nothing that can’t be handled by the computer you have today. (more…)


A Post-hoc Test for Kruskal-Wallis

May 8th, 2023 by

If you’ve ever run a one-way analysis of variance (ANOVA), you’re familiar with post-hoc tests. The ANOVA omnibus test only tells you whether any groups differ in their means. But if you want to explore which specific group mean is different from which, you need to follow up with a post-hoc test. (more…)


How to Pick an R Package

April 24th, 2023 by

One big advantage of R is its breadth. If anything has been done in statistics, there is an R package that will do it.

The problem is that sometimes there are four packages that will do it. This is big problem with R (and with Python for that matter). (more…)


Best Practices for Formatting Date Variables

March 9th, 2023 by

Formatting Date Variables seems like it should be straightforward, but sadly, it’s not.

If you are given data that includes dates, expect confusion. Dates can be represented in many different ways. (more…)


What is a Dunnett’s Test?

January 10th, 2023 by

I’m a big fan of Analysis of Variance (ANOVA). I use it all the time. I learn a lot from it. But sometimes it doesn’t test the hypothesis I need. In this article, we’ll explore a test that is used when you care about a specific comparison among means: Dunnett’s test. (more…)