2021
Using simulation to understand frequentist confidence intervals and Bayesian credible intervals as tools for inference
In this example, we’re going to go back to basics, and use both a formula and simulation to calculate confidence intervals for a sample …
Estimating treatment effects from observational spatial data using a difference-in-differences approach
For most problems involving some kind of spatial exposure, e.g. to a neighborhood environment, it is either unethical, impractical, or …
Smoothing! An interactive tutorial approach to univariate and spatial interpolation
In this tutorial, we will introduce some key concepts and tools for smoothing and visualizing potentially non-linear data. We will …
Likelihood and model fit: A visual tour
Likelihood is a concept that underlies most statistical modeling that falls under the heading of generalized linear model or GLMs.
When …
How does residential segregation impact infection risk? An interactive exploration
In this tutorial, we’re going to walk through ways in which patterns of residential segregation may impact infectious disease risk …
What can epidemiological models tell us about infection inequality?
Socioeconomic and racial inequalities in infection and mortality have been key features of the COVID-19 pandemic in the United States. …
