Category: Causal Inference

  • Power up your research: Interaction Effects and Sample Size

    Estimating an interaction (also “moderation”) effect can be tricky and often requires a much larger sample size than detecting a main effect. Inspired by Andrew Gelman’s “you need 16 times…” post our latest blog post delves into the intricacies of powering tests effectively. In collaboration with Francisco Sesto, we’ve developed a dashboard that lets you…