Predicting Recidivism in Homicide Offenders Using Classification Tree Analysis

By M. Neuilly, Kristen M. Zgoba, George E. Tita, Stephen S. Lee. 2011

67 citations recorded by the source corpus.

Subfields: Clinical Psychology, Sociology and Political Science

How researchers see this paper

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

In Clinical Psychology

1. Jiaming Zeng
2. Berk Ustun
3. Cynthia Rudin

In Sociology and Political Science

1. Jiaming Zeng
2. Berk Ustun
3. Cynthia Rudin

Citations in the corpus

• Interpretable classification models for recidivism prediction (2015, methodology): “Random forests (Breiman 2001b) is another popular method that produces very complex black-box models: Neuilly et al. (2011) found that random forests were better for prediction of recidivism for homicide offenders; Berk et al. (2006) used the method to forecast a prisoner’s likelihood to commit a…”