Ahmed & Helmus (2023. Predictive Accuracy of Static-99R across different racial/ethnic groups: A meta-analysis.
Hanson, Lee, & Thornton (2024) Long term recidivism rates among individuals at high risk to sexually reoffend.
Helmus,Kelley, Frazier, Fernandez, Lee, Rettenberger & Boccaccini (2022). Static-99R: Strengths, limitations, predictive accuracy meta-analysis, and legal admissibility review.
Helmus, Hanson, Murrie, & Zabarauckas (2021). Field validity of Static-99R and STABLE-2007 with 4,433 men serving sentences for sexual offences in British Columbia: New findings and meta-analysis.
Lee & Hanson (2021). Updated 5-year and new 10-year sexual recidivism rate norms for Static-99R with routine/complete samples.
Lee & Hanson (2021). Supplemental material for “Updated 5-year and new 10-year sexual recidivism rate norms for Static-99R with routine/complete samples.
Lee, Hanson, & Blais (2020). Predictive accuracy of the Static-99R and Static-2002R risk tools for identifying Indigenous and White individuals at high risk for sexual recidivism in Canada. Canadian Psychology/Psychologie canadienne
Hanson, Babchishin, Helmus, Thornton, & Phenix (2017). Communicating the results of criterion referenced prediction measures: Risk categories for the Static-99R and Static-2002R sexual offender risk assessment tools.
Lee, Restrepo, Satariano & Hanson (2016). The predictive validity of Static-99R for sexual offenders in California: 2016 update. State Authorized Risk Assessment Tools for Sex Offenders (SARATSO)
Lee & Hanson (2016). Recidivism risk factors are correlated with a history of psychiatric hospitalization among sex offenders.