L. Maaike Helmus
L. Maaike Helmus
Andra namnLeslie Helmus
Verifierad e-postadress på sfu.ca
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The principles of effective correctional treatment also apply to sexual offenders: A meta-analysis
RK Hanson, G Bourgon, L Helmus, S Hodgson
Criminal Justice and behavior 36 (9), 865-891, 2009
Assessing the risk of sexual offenders on community supervision: The Dynamic Supervision Project
RK Hanson, AJR Harris, TL Scott, L Helmus
Public Safety Canada 5 (6), 2007
Improving the predictive accuracy of Static-99 and Static-2002 with older sex offenders: Revised age weights
L Helmus, D Thornton, RK Hanson, KM Babchishin
Sexual Abuse 24 (1), 64-101, 2012
Absolute recidivism rates predicted by Static-99R and Static-2002R sex offender risk assessment tools vary across samples: A meta-analysis
L Helmus, RK Hanson, D Thornton, KM Babchishin, AJR Harris
Criminal justice and behavior 39 (9), 1148-1171, 2012
High-risk sex offenders may not be high risk forever
RK Hanson, AJR Harris, L Helmus, D Thornton
Journal of Interpersonal Violence 29 (15), 2792-2813, 2014
A meta-analysis of the effectiveness of treatment for sexual offenders: Risk, need, and responsivity
RK Hanson, G Bourgon, L Helmus, S Hodgson
Public Safety Canada, 2009
Attitudes supportive of sexual offending predict recidivism: A meta-analysis
L Helmus, RK Hanson, KM Babchishin, RE Mann
Trauma, Violence, & Abuse 14 (1), 34-53, 2013
Predicting recidivism amongst sexual offenders: A multi-site study of Static-2002.
RK Hanson, L Helmus, D Thornton
Law and Human Behavior 34 (3), 198, 2010
Reductions in risk based on time offense-free in the community: Once a sexual offender, not always a sexual offender.
RK Hanson, AJR Harris, E Letourneau, LM Helmus, D Thornton
Psychology, Public Policy, and Law 24 (1), 48, 2018
Does intra-individual change predict offender recidivism? Searching for the Holy Grail in assessing offender change
RC Serin, CD Lloyd, L Helmus, DM Derkzen, D Luong
Aggression and Violent Behavior 18 (1), 32-53, 2013
Primer on risk assessment and the statistics used to evaluate its accuracy
LM Helmus, KM Babchishin
Criminal Justice and Behavior 44 (1), 8-25, 2017
Assessing the risk and needs of supervised sexual offenders: A prospective study using STABLE-2007, Static-99R, and Static-2002R
RK Hanson, LM Helmus, AJR Harris
Criminal Justice and Behavior 42 (12), 1205-1224, 2015
What sexual recidivism rates are associated with Static-99R and Static-2002R scores?
RK Hanson, D Thornton, LM Helmus, KM Babchishin
Sexual Abuse 28 (3), 218-252, 2016
Communicating the results of criterion referenced prediction measures: Risk categories for the Static-99R and Static-2002R sexual offender risk assessment tools.
RK Hanson, KM Babchishin, LM Helmus, D Thornton, A Phenix
Psychological assessment 29 (5), 582, 2017
The validity of risk assessments for intimate partner violence: A meta-analysis
RK Hanson, L Helmus, G Bourgon
Public Safety Canada, 2007
Developing non-arbitrary metrics for risk communication: Percentile ranks for the Static-99/R and Static-2002/R sexual offender risk tools
RK Hanson, CD Lloyd, L Helmus, D Thornton
International Journal of Forensic Mental Health 11 (1), 9-23, 2012
Quantifying the relative risk of sex offenders: Risk ratios for Static-99R
RK Hanson, KM Babchishin, L Helmus, D Thornton
Sexual Abuse 25 (5), 482-515, 2013
Even highly correlated measures can add incrementally to predicting recidivism among sex offenders
KM Babchishin, RK Hanson, L Helmus
Assessment 19 (4), 442-461, 2012
Latent constructs of the Static-99R and Static-2002R: A three-factor solution
S Brouillette-Alarie, KM Babchishin, RK Hanson, LM Helmus
Assessment 23 (1), 96-111, 2016
Static-99R & Static-2002R evaluators’ workbook
A Phenix, L Helmus, RK Hanson
Ottawa: Public Safety Canada, 2012
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