Work

Commentary: The Seedy Side of Causal Effect Estimation with Machine Learning

Year: 2024

Type: editorial

Source: Epidemiology

DOI: 10.1097/ede.0000000000001783

Author: Paul N. Zivich

Institution: University of North Carolina at Chapel Hill

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

Funder: National Institute of Allergy and Infectious Diseases

Award: Combining sources of information to improve HIV pre-exposure prophylaxis

OpenAlex ID: W4401634485

Cites: 18

Cited by: 6

Related to: 10