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