Blog – Christopher B. 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

The many faces of the g-formula

And how to implement them from scratch using R.

causal inference

code

g-formula

We’ve all been there. Just working away on some tricky causal question, minding your own damn business, thinking maybe… just maybe… this time you’ve discovered some new…

Christopher Boyer

The reasons people start treatment are not the same as the reasons they stop

And what this implies for causal inference for sustained treatment strategies.

causal inference

code

g-formula

Researchers are often interested in estimating the effects of sustained use of a treatment on a health outcome.

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