Blog category: Causality

• Target Trial Emulation in Practice

  Target trial emulation is a unified process for estimating well-defined causal effects using both randomized and nonrandomized data. Coupled with simulation to approximate the g-formula, it forms a satisfyingly general yet relatively simple process that can be trusted to lead to the best estimate the data can provide.

• How Probabilistic Programming Allows Automatic Causal Inference

  Generative models can be written with causal assumptions included. Comparing predictions from such a model gives valid estimates of causal effects, similar to more complicated estimators derived from theories of causal inference, but with more accurate accounting of uncertainty.