Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
J Esser, M Maia, AC Parnell, J Bosmans… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, theoretical results and simulation evidence have shown Bayesian additive
regression trees to be a highly-effective method for nonparametric regression. Motivated by …
regression trees to be a highly-effective method for nonparametric regression. Motivated by …
Little and Often: Causal Inference Machine Learning Demonstrates the Benefits of Homework for Improving Achievement in Mathematics and Science.
Despite being a highly debated topic, a growing body of evidence suggests that homework
has a small but positive effect on student achievement. In this study, we employ an …
has a small but positive effect on student achievement. In this study, we employ an …
Investigating the Effect of Creative Mathematical Reasoning Tasks on Student Achievement: A Causal Inference Machine Learning Approach.
In this study we investigate the impact of regularly assigning creative mathematical
reasoning tasks on student achievement. Using a causal inference machine learning …
reasoning tasks on student achievement. Using a causal inference machine learning …