Using Groups Statistics to Sentence Individual Criminals : An Ethical and Statistical Critique of the Virginia Risk Assessment Program

By Brian Netter. 2016

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jiaming Zeng
2. Berk Ustun
3. Cynthia Rudin
4. Kelly Hannah-Moffat
5. Tong Wang
6. Ş. Ertekin
7. Nadia Burkart
8. Lesia Semenova

Citations in the corpus

• Interpretable classification models for recidivism prediction (2015, background): “This makes it difficult, if not impossible, to assess predictive accuracy: Netter (2007), for instance, mentions that “the possibility of making a prediction error (false positive or false negative) using a risk tool is probable, but not easily determined.””
• Actuarial Sentencing: An “Unsettled” Proposition (2013, background): “When using a risk tool, prediction error (false positive or false negative) is probable, but not easily determined——a problem that is generating considerable empirical research (see Netter, 2007).”