Missing data is a common problem in data analysis. One of the successful approaches is k-Nearest Neighbor (kNN), a simple approach that leverages known information to impute unknown values with a relatively high degree of accuracy. (more…)
Membership Webinars
Member Training: A (Gentle) Introduction to k-Nearest Neighbor
July 1st, 2021 by TAF Support
Member Training: An Introduction into the Grammar of Graphics
June 1st, 2021 by TAF Support
As it has been said a picture is worth a thousand words and so it is with graphics too. 
A well constructed graph can summarize information collected from tens to hundreds or even thousands of data points. But not every graph has the same power to convey complex information clearly. (more…)
Member Training: Writing Study Design and Statistical Analysis Plans
May 3rd, 2021 by TAF Support
One component often overlooked in the ‘Define & Design’ phase of a study, is writing the analysis plan. The statistical analysis plan integrates a lot of information about the study including the research question, study design, variables and data used, and the type of statistical analysis that will be conducted.
Member Training: Statistical Contrasts
March 31st, 2021 by TAF Support
Statistical contrasts are a tool for testing specific hypotheses and model effects, particularly comparing specific group means.
Member Training: Goodness of Fit Statistics
March 4th, 2021 by TAF Support
What are goodness of fit statistics? Is the definition the same for all types of statistical model? Do we run the same tests for all types of statistic model?
Member Training: Choosing the Best Statistical Analysis
February 1st, 2021 by TAF Support
Before you can write a data analysis plan, you have to choose the best statistical test or model. You have to integrate a lot of information about your research question, your design, your variables, and the data itself.