Some predictive machine learning models provide interpretable results, while others are black boxes. In either case, it’s important to know how and why a model made the predictions it did. This workshop will introduce tools for interpreting machine learning models and explaining their predictions. Topics covered include: Inherently interpretable models (linear and logistic regression, decision […]
Sample size planning and power analysis are essential to planning a new study, but complicated study designs, statistical methods, and real-world challenges can often require customized methods to plan appropriately. In many cases, there is no easy calculator to determine sample size or power. This workshop will introduce you to Monte Carlo simulation methods for […]
Join us for a discussion on an exploration of the current benefits and pitfalls of AI usage in scientific research. The capabilities of AI has dramatically increased over the past year. This session will provide a space to discuss innovative ways researchers across departments are integrating AI into their statistical workflows, as well as a […]
In this workshop we will explore using AI to perform various data analyses, including univariate, bivariate, and multivariate analyses as well as generate reproducible code. We will use AI to explore checking assumptions and interpretations of statistical models as well as missing data analysis. We will also explore using AI to learn more about specific […]
This workshop will explore how to utilize AI to create plots and tables. We will also focus on how to create plots that match journal specifications as well as how to annotate plots that were created in other programs. We will also cover how to generate reproducible code for the data visualizations and tables.
This workshop will focus on how to use AI to design studies to answer research questions. In particular, we will utilize AI to explore various experimental designs and sampling strategies under feasibility constraints. We will also explore using AI to help determine the best way to organize the data for the study as well as […]
This workshop will focus on using AI to construct analyzable datasets from archival data sources, pdfs, images, and other sources and formats. We will also focus on manipulating and transforming data for statistical analysis.
When data is measured at multiple spatial locations, it often follows that measurements that are close together are more similar than measurements that are further apart. This puts us at risk of violating the linear model assumption of independent observations. Researchers can try to detect violation of independence via visual inspection of maps of residuals […]