The scientific method has evolved to include various ways to establish probable causal relationship and to work these likely ...

The COVID-19 pandemic showed in real time, and with the highest of stakes, how hard it can be to decide if something is true.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

We first utilized a two-sample Mendelian randomization (MR) analysis to examine the causal effects of dietary intake and likings on the risk of spinal and related diseases. In this analysis, single ...