Results 301 to 310 of about 8,838,426 (323)

Invited Commentary: Machine Learning in Causal Inference—How Do I Love Thee? Let Me Count the Ways

American Journal of Epidemiology, 2021
Laura B Balzer, Maya L. Petersen
exaly  

Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms.

American Journal of Epidemiology, 2023
Edward H. Kennedy, Ashley I. Naimi
exaly  

Opportunities for Causal Machine Learning in Precision Oncology

NEJM AI
Janick G. Weberpals, S. Feuerriegel, M. van der Schaar, K. Kehl   +3 more
semanticscholar   +1 more source

Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications

American Statistician, 2021
Luke Keele, Dylan Small
exaly  

Preservation of causal information for machine learning

2021
BANSAL AMIT, ROSATI THOMAS, NELLIMOOTTIL TITTU THOMAS   +2 more
openaire   +3 more sources

Causality and Machine Learning Review

2022
Adrienne Raglin, Brian Sadler, Atul Rawal, Danda Rawat   +3 more
openaire   +1 more source

Thirteen Questions About Using Machine Learning in Causal Research (You Won’t Believe the Answer to Number 10!)

American Journal of Epidemiology, 2021
Mooney Stephen, Alexander P Keil
exaly  

Machine Learning in Causal Inference

2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP)
openaire   +1 more source

Assessing the determinants of scale effects on carbon efficiency in China's wastewater treatment plants using causal machine learning

Resources, Conservation and Recycling
Ren-Ke Wei, Yu-Chen Hu, Ke Yu, Lu-Jing Zhang, Gang Liu, Cheng-Zhi Hu, Shen Qu, Jiu-Hui Qu   +7 more
semanticscholar   +1 more source

Reconstructing directional causal networks with random forest: Causality meeting machine learning

Chaos, 2019
Siyang Leng, Huanfei Ma
exaly