Blog – Christopher B. Boyer

Can test-negative results correct hidden confounding?

A simulation walk-through of negative control outcomes for vaccine effectiveness

causal inference

test-negative

vaccines

simulation

R

Note: I first wrote this as a working note for a colleague. Here is a cleaned-up version for anyone curious about how test-negative results can act as a negative control…

Christopher Boyer

Bayesian measurement error models for longitudinal data

TLDR: Why a good sandwich can solve so many of life’s problems.

measurement

Bayes

Stan

Recently, I have been working with longitudinal biomarker data that looks something like this:

Christopher Boyer

M-estimation for causal inference in R

TLDR: Why a good sandwich can solve so many of life’s problems.

causal inference

m-estimation

code

Christopher Boyer