Work

Adjusting for Population Differences Using Machine Learning Methods

Year: 2021

Type: article

Source: Journal of the Royal Statistical Society Series C (Applied Statistics)

DOI: 10.1111/rssc.12486

Authors: Lauren Cappiello, Zhiwei Zhang, Changyu Shen, Neel M. Butala, Xinping Cui, Robert W. Yeh

Institutions: University of California, Riverside, California State University, Sacramento, National Institutes of Health, National Cancer Institute, Beth Israel Deaconess Medical Center, Harvard University, Massachusetts General Hospital

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute

Award: Use of Registries, Claims and Health System Data to Enhance the Evaluation of Cardiovascular Devices

OpenAlex ID: W3149099536

FWCI: 0.179

Cites: 49

Cited by: 1

Related to: 10