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143 related items for PubMed ID: 16639536
21. Recent research (N = 9,305) underscores the importance of using age-stratified actuarial tables in sex offender risk assessments. Wollert R, Cramer E, Waggoner J, Skelton A, Vess J. Sex Abuse; 2010 Dec; 22(4):471-90. PubMed ID: 21098823 [Abstract] [Full Text] [Related]
22. Comparison of measures of risk for recidivism in sexual offenders. Looman J, Abracen J. J Interpers Violence; 2010 May; 25(5):791-807. PubMed ID: 19571251 [Abstract] [Full Text] [Related]
23. What Sexual Recidivism Rates Are Associated With Static-99R and Static-2002R Scores? Hanson RK, Thornton D, Helmus LM, Babchishin KM. Sex Abuse; 2016 Apr; 28(3):218-52. PubMed ID: 25810478 [Abstract] [Full Text] [Related]
24. Sexual recidivism in sex offenders. Greenberg DM. Can J Psychiatry; 1998 Jun; 43(5):459-65. PubMed ID: 9653528 [Abstract] [Full Text] [Related]
25. Pedophilia: an evaluation of diagnostic and risk prediction methods. Wilson RJ, Abracen J, Looman J, Picheca JE, Ferguson M. Sex Abuse; 2011 Jun; 23(2):260-74. PubMed ID: 21062948 [Abstract] [Full Text] [Related]
27. A comparison of modified versions of the Static-99 and the Sex Offender Risk Appraisal Guide. Nunes KL, Firestone P, Bradford JM, Greenberg DM, Broom I. Sex Abuse; 2002 Jul; 14(3):253-69. PubMed ID: 12087686 [Abstract] [Full Text] [Related]
28. Predictive validity of the SVR-20 and Static-99 in a Dutch sample of treated sex offenders. de Vogel V, de Ruiter C, van Beek D, Mead G. Law Hum Behav; 2004 Jun; 28(3):235-51. PubMed ID: 15264445 [Abstract] [Full Text] [Related]
29. Interpreting multiple risk scales for sex offenders: evidence for averaging. Lehmann RJ, Hanson RK, Babchishin KM, Gallasch-Nemitz F, Biedermann J, Dahle KP. Psychol Assess; 2013 Sep; 25(3):1019-24. PubMed ID: 23730829 [Abstract] [Full Text] [Related]
30. Sex offender management using the polygraph: a critical review. Meijer EH, Verschuere B, Merckelbach HL, Crombez G. Int J Law Psychiatry; 2008 Sep; 31(5):423-9. PubMed ID: 18789528 [Abstract] [Full Text] [Related]
31. Predicting the likelihood of future sexual recidivism: pilot study findings from a California sex offender risk project and cross-validation of the Static-99. Sreenivasan S, Garrick T, Norris R, Cusworth-Walker S, Weinberger LE, Essres G, Turner S, Fain T. J Am Acad Psychiatry Law; 2007 Sep; 35(4):454-68. PubMed ID: 18086738 [Abstract] [Full Text] [Related]
32. Alice in actuarial-land: through the looking glass of changing Static-99 norms. Sreenivasan S, Weinberger LE, Frances A, Cusworth-Walker S. J Am Acad Psychiatry Law; 2010 Sep; 38(3):400-6. PubMed ID: 20852227 [Abstract] [Full Text] [Related]
33. Predicting relapse for Catholic clergy sex offenders: the use of the static-99. Montana S, Thompson G, Ellsworth P, Lagan H, Helmus L, Rhoades CJ. Sex Abuse; 2012 Dec; 24(6):575-90. PubMed ID: 22593148 [Abstract] [Full Text] [Related]
36. Age and sexual recidivism: a variable connection. Thornton D. Sex Abuse; 2006 Apr; 18(2):123-35. PubMed ID: 16639535 [Abstract] [Full Text] [Related]
37. Further investigation of findings reported for the Minnesota sex offender screening tool-revised. Langton CM, Barbaree HE, Harkins L, Peacock EJ, Arenovich T. J Interpers Violence; 2008 Oct; 23(10):1363-79. PubMed ID: 18309040 [Abstract] [Full Text] [Related]
38. Assessing risk for sexual recidivism: some proposals on the nature of psychologically meaningful risk factors. Mann RE, Hanson RK, Thornton D. Sex Abuse; 2010 Jun; 22(2):191-217. PubMed ID: 20363981 [Abstract] [Full Text] [Related]