G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-81110-0
Abstract: In clinical research, there is a growing interest in the use of propensity score-based methods to estimate causal effects. G-computation is an alternative because of its high statistical power. Machine learning is also increasingly used… read more here.
Keywords: machine; machine learning; computation; causal effects ... See more keywords