Racial differences in marijuana-users' risk of arrest in the United States.

By R. Ramchand, R. Pacula, M. Iguchi. 2006

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All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously (2018, background): “In the case of recidivism, if arrest rates across demographic groups are not representative of underlying crime rate (Beckett et al., 2006; Ramchand et al., 2006; U.S. Department of Justice - Civil Rights Devision, 2016), then bias can be created in both (1) the outcome variable, future crime, which”
The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning (2018, background): “For example, there is evidence that drug arrests in the United States are biased against black and Hispanic individuals, with minorities who commit drug crimes substantially more likely to be arrested than whites who commit the same offenses (Ramchand et al., 2006).”
Examining Racial Disparities in Drug Arrests (2015, methodology): “Other evidence of race differences in the nature of drug offending comes from a recent study by Ramchand, Pacula, and Iguchi (2006).”