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 ...

R and Netica were used to build the Bayesian network model and implement Bayesian inference, respectively. Stata15.0 was used for data analysis and p < 0.05 was statistically significant. Because a ...