Work

Commentary: Why are we biased against bias?

Year: 2008

Type: editorial

Source: International Journal of Epidemiology

DOI: 10.1093/ije/dyn035

Author: J. S Kaufman

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

OpenAlex ID: W2126442065

Cites: 10

Cited by: 30

Related to: 10