Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...
The goal of such investigations is to discover key biomarkers of exposure that enable follow-up hypotheses to be explored regarding sources of exposure, dose–response relationships, mechanisms of ...
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 ...
Aetion, the global leader in real-world evidence (RWE) technology and analytics, today announced that it has confirmed the appointment of Jeremy Rassen, ScD, as chief executive officer (CEO) of Aetion ...