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Author

Jon Zelner

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A crash course on modeling infection inequities

talk

inequity

COVID-19

This talk is an effort to distill some of the challenges associated with making infectious disease models more useful for accounting for infection inequity. The goal is to…

An invitation to spatial epidemiology

Why I didn’t realize I was a spatial epidemiologist until I’d been doing it for 10 years.

One theme that comes up consistently when I’m teaching and talking to students and others about spatial epidemiology is that it is an aura of inaccessibility. This makes a…

A crash course on modeling infection inequities

talk

inequity

COVID-19

This talk is an effort to distill some of the challenges associated with making infectious disease models more useful for accounting for infection inequity. The goal is to…

Postdoctoral, research staff or GSRA position modeling social inequity in infectious disease dynamics at the University of Michigan

The EpiBayes research group, led by Dr. Jon Zelner in the Dept. of Epidemiology and Center for Social Epidemiology and Population Health (CSEPH) at the University of…

Coming to grips with complete spatial randomness

The point of this tutorial is to introduce you to two key, but related, concepts in spatial analysis:

Taking a spatial perspective on the `radon` data

This tutorial is a follow-up to a prior exercise using these data. So if you haven’t already, please go back and take a look at the original multi-level modeling radon…

Re-creating the `radon` teaching example with rstanarm and tidybayes

In this tutorial, we are going to replicate the analysis of household-level variation in radon exposure originally presented in Gelman (2006) (which is actually a tutorial…

Making sense of spatial density estimation

code

tutorial

statistics

spatial

R

When working with spatial data, our analytic task often falls into either of two rough categories.

Building a simple SIR model with javascript and d3

tutorial

mapping

d3

javascript

Another throwback from my old blog about constructing a simple SIR model in javascript and d3.

Voronoi intensity mapping with d3

tutorial

mapping

d3

javascript

R

This is an oldie but a goody from my old blog.

Codifying Tobler’s First Law using Locally Weighted Regression

code

tutorial

statistics

In this brief tutorial, we will review some basic ideas about smoothing and start thinking through how we can express these ideas mathematically and in R.

What I learned from teaching online.

Or: How I learned to stop worrying and just plan my teaching and writing.

Repost of a post I put up on the Statistical Modeling, Causal Inference, and Social Science blog