Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper ... the arrow indicates the direction of the causal effect. For example, ...

The review distinguishes between traditional statistical analysis and causal inference, highlighting the need for specific causal assumptions, like the Stable Unit Treatment Value Assumption (SUTVA).

Recent history has illuminated numerous examples where these algorithms proved unreliable or inequitable. This talk will show how causal inference enables us to more reliably evaluate such algorithms’ ...

For example, the notion that reducing PA increases the risk ... countries investigated may explain the heterogeneity in effects observed. A further causal inference approach not directly considered by ...