Tyler Morgan-Wall

Logistic regression is a commonly-used method for analyzing tests with probabilistic responses in the test community, yet calculating power for these tests has historically been challenging. This difficulty prompted the development of methods based on signal-to-noise ratio (SNR) approximations over the last decade, tailored to address the intricacies of logistic regression’s binary outcomes. However, advancements and improvements in statistical software and computational power have reduced the need for such approximate methods....

This workshop instructs attendees on how to run an end-to-end optimal Design of Experiments workflow in R using the open source skpr package. This workshop is split into two sections optimal design generation and design evaluation. The first half of the workshop provides basic instructions how to use R, as well as how to use skpr to create an optimal design for an experiment how to specify a model, create a candidate set of potential runs, remove disallowed combinations, and specify the design generation conditions to best suit an experimenter’s goals....