The below information can also be found at the “About” page, which will be updated more regularly. Anyway, there’s two things to cover here: me (a human), and this blog (a blog). Let’s treat each issue separately, shall we?
My name is Zach. I’m a lifelong NFL fan, one of the many things I blame my father for.
I’m currently a PhD student (soon to be candidate!) in epidemiology at Emory University. I also have an MPH in epidemiology from Emory.
So what is an epidemiologist, and why is he talking about NFL injuries? To grossly oversimplify and steal my own words from one of my articles on Football Outsiders, epidemiologists want to do two main things:
1. Describe the distribution of diseases (for example, injuries) in a population (for example, football players) and,
2. When we see differences within populations (for example, variation by position or team or year), ask and analyze why these differences exist.
I can promise to do one, both, or neither of these in every post.
I began studying NFL injuries several years ago thanks to a fortuitous accident where an NFL team that offered me a freelance analytics position said “Oh, you’re in healthcare, you must know about injuries, right?” I had not even thought about doing that at the time, but it’s an extremely timely and interesting topic! I’ve been doing in-depth work in the field ever since.
My dissertation involves describing NFL injuries, assessing the impact on injuries of the 2011 collective bargaining agreement (CBA), and devising a predictive model for NFL injury risk.
So in a nutshell, I’m an NFL fan with a very strong statistics background and an interest in studying injuries.
Oh, and you can find me on Twitter @zbinney_nflinj.
NFL Injury Analytics Blog:
The purpose of this blog is to take a rigorous but accessible, informative, and entertaining quantitative approach to football, and specifically NFL, injury data. Given a previous career as a journalist and my current academic work, I’m confident I can accomplish 1.0-2.5 of these goals in any given post.
Sometimes posts will be my own original research, and sometimes I’ll comment on other people’s work or interesting data points I come across related to NFL injuries. Every once in awhile I might go totally off the rails and write a non-injury football analytics post!
I will explain any statistics used in my posts and be transparent with my methods and their limitations. I’ll try and separate these sections out from the main meat of any post so you can skip it all if you want. But I love teaching epidemiology and statistics, and if you promise to read these sections I promise to try and keep them accessible and enjoyable. You might, despite your best efforts to just waste time on the internet, learn something.