About thinkCausal

Built and managed by the team at NYU PRIISM , thinkCausal is a federally funded project devoted to building scaffolded causal inference software implementing Bayesian Additive Regression Trees.

thinkCausal is a tool for thinking about and doing causal inference. It will help you answer causal questions while learning the basics of causal inference. With thinkCausal, you can visualize your data, choose a causal inference goal and interpret your results.

If you get stuck along the way, the built in “just-in-time” learning approach will help you make decisions and learn about causal inference.