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.
(more…)
Optimal Design
Member Training: Introduction to Binary Logistic Regression
December 3rd, 2024 by TAF SupportMember Training: Types of Longitudinal, Repeated Measures, and Time Series
October 2nd, 2024 by TAF SupportHow do you know when to use a time series and when to use a linear mixed model for longitudinal data?
What’s the difference between repeated measures data and longitudinal?
(more…)
Sample Size Estimates for Multilevel Randomized Trials
May 1st, 2012 by Karen Grace-MartinIf you learned much about calculating power or sample sizes in your statistics classes, chances are, it was on something very, very simple, like a z-test.
But there are many design issues that affect power in a study that go way beyond a z-test. Like:
- repeated measures
- clustering of individuals
- blocking
- including covariates in a model
Regular sample size software can accommodate some of these issues, but not all. And there is just something wonderful about finding a tool that does just what you need it to.
Especially when it’s free.
Enter Optimal Design Plus Empirical Evidence software. (more…)