Why aren’t MIMIC models used more often?
Measurement invariance is a big deal in psychometrics—and in many related fields. In this post, I’m going to argue that the traditional approach to testing for measurement invariance is often more...
View ArticleAnalyzing Experiments Using the marginaleffects Package for R
A 2×2 factorial design is a type of experimental design that allows researchers to understand the effects of two independent variables (each with two levels) on a single dependent variable. The design...
View ArticleMilk, Eggs, and Courts: My First Machine Learning Project
This semester I am teaching a graduate course at Penn State on Machine Learning for Political Research, and in December I will teach a seminar on machine learning for Statistical Horizons. This has led...
View ArticleDiscrete Choice Analysis: What Our Choices Reveal about Preferences,...
On November 1, 2023, Professor William H. Greene will present a Distinguished Speaker seminar on “Econometric Analysis of Discrete Choices.” In this post, Professor Trenton Mize–who teaches several...
View ArticleThe Machine Learning Foundations of Artificial Intelligence
Bruce Desmarais will teach Machine Learning on December 14-16, 2023. This seminar provides a comprehensive introduction to machine learning. You will walk away an understanding of the core concepts,...
View ArticleWhat Are Models and Why Should We Use Them to Understand Social Behavior?
As scientists, we try to increase our understanding of the world through research. We study objects and systems to learn about their properties and behaviors. Or do we? The post What Are Models and Why...
View ArticleA Family Affair: Rigorous Causal Inference Comes to Statistical Sociogenomics
In this post, Professor Daniel Adkins, Director of Biostatistics and instructor for the Introduction to Statistical Genetics course at Statistical Horizons, delves into recent debates surrounding...
View ArticleWhat’s My Age Again? A Population Perspective on Biological Aging
To learn more about the latest methodologies and techniques for understanding and quantifying biological age, join Professor Lauren Gaydosh for Analysis of Biological Aging, March 14-16. Have you ever...
View ArticleIn Machine Learning, Can Good Predictive Models also be Interpretable?
To learn more about machine learning methodologies, core concepts, practical applications, and how to leverage these techniques in your own research, join Professor Bruce Desmarais for Machine Learning...
View ArticleGood to Go? When to Stop Developing a Machine Learning Pipeline and Start...
Gain hands-on experience with machine learning tools and methodologies in Machine Learning, taught by Professor Desmarais. You’ll deepen your understanding of how machine learning can be applied to...
View ArticleIf I Could Turn Back Time – The Science Behind Reversing Your Biological Age
To learn more about how to use and implement a variety of methods for measuring and analyzing biological age, join Professor Lauren Gaydosh for Analysis of Biological Aging on June 10-13. Everybody...
View ArticleThe Statistical Foundations of Machine Learning
Why your stats background is more useful than you might think Gain hands-on experience with machine learning tools and methodologies in Machine Learning and Advanced Machine Learning, both taught by...
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