December 20, 2021

How to create a(n almost) fully Bayesian outcome model with inverse probability weights

December 18, 2021

How to use Bayesian propensity scores and inverse probability weights

September 7, 2021

Do-calculus adventures! Exploring the three rules of do-calculus in plain language and deriving the backdoor adjustment formula by hand

January 15, 2021

Marginal structural models for panel data with GEE and multilevel models

December 3, 2020

Generating inverse probability weights for marginal structural models with time-series cross-sectional panel data

December 1, 2020

Generating inverse probability weights for both binary and continuous treatments

February 25, 2020

Ways to close backdoors in DAGs