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A Comparison of Logistic Regression, Classification and Regression Tree, and Neural Networks Models in Predicting Violent Re-Offending
16 references·4 citing·38 second hop
A Comparison of Logistic Regression, Classification and Regression Tree, and Neural Networks Models in Predicting Violent Re-Offending (2011)A Comparison of Logistic Regression, Clas…Violence and Mental Disorder (2024)Violence and Mental DisorderComparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r. (2005)Comparing effect sizes in fol…An Actuarial Model of Violence Risk Assessment for Persons With Mental Disorders (2005)An Actuarial Model of Violenc…Is the PCL-R Really the “Unparalleled” Measure of Offender Risk? (2002)Is the PCL-R Really the “Unpa…The Accuracy of Five Risk Appraisal Instruments in Predicting Institutional Misconduct and New Convictions (2001)The Accuracy of Five Risk App…Developing a clinically useful actuarial tool for assessing violence risk (2000)Developing a clinically usefu…A classification tree approach to the development of actuarial violence risk assessment tools. (2000)A classification tree approac…Assessing risk for violence among psychiatric patients: The HCR-20 violence risk assessment scheme and the Psychopathy Checklist: Screening Version. (1999)Assessing risk for violence a…Violence by People Discharged From Acute Psychiatric Inpatient Facilities and by Others in the Same Neighborhoods (1998)Violence by People Discharged…Psychopathy and recidivism: A review (1998)Psychopathy and recidivism: A…Violent recidivism: Assessing predictive validity. (1995)Violent recidivism: Assessing…Assessing predictions of violence: Being accurate about accuracy. (1994)Assessing predictions of viol…The Accuracy of Predictions of Violence to Others (1993)The Accuracy of Predictions o…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…The Brief Symptom Inventory: an introductory report (1983)The Brief Symptom Inventory: …Antecedent probability and the efficiency of psychometric signs, patterns, or cutting scores. (1955)Antecedent probability and th…‘Be the match’. Predictors of decisions concerning registration in potential bone marrow donor registry in a group of Polish young adults as an example of prosocial behaviour (2019)‘Be the match’. Predictors of…Metric Sex Determination of the Human Coxal Bone on a Virtual Sample using Decision Trees (2015)Metric Sex Determination of t…Two Methodologies for Predicting Patent Litigation Outcomes: Logistic Regression Versus Classification Trees (2014)Two Methodologies for Predict…Which Method Predicts Recidivism Best?: A Comparison of Statistical, Machine Learning and Data Mining Predictive Models (2012)Which Method Predicts Recidiv…Criminal Justice and Behavior (1980)A power primer. (1992)Without Conscience: The Disturbing World of the Psychopaths Among Us (1993)Violence risk prediction (2000)The Prediction of Criminal Recidivism in Juveniles (2001)Predicting institutional adjustment and recidivism with the psychopathy checklist factor scores: A meta-analysis. 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References

  • 1983The Brief Symptom Inventory: an introductory report6,647 cited
  • 2005Comparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r.1,604 cited
  • 1998Violence by People Discharged From Acute Psychiatric Inpatient Facilities and by Others in the Same Neighborhoods1,442 cited
  • 1955Antecedent probability and the efficiency of psychometric signs, patterns, or cutting scores.1,208 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1994Assessing predictions of violence: Being accurate about accuracy.795 cited
  • 1998Psychopathy and recidivism: A review759 cited
  • 1995Violent recidivism: Assessing predictive validity.639 cited
  • 1993The Accuracy of Predictions of Violence to Others497 cited
  • 1999Assessing risk for violence among psychiatric patients: The HCR-20 violence risk assessment scheme and the Psychopathy Checklist: Screening Version.411 cited
  • 2000A classification tree approach to the development of actuarial violence risk assessment tools.397 cited
  • 2000Developing a clinically useful actuarial tool for assessing violence risk343 cited
  • 2002Is the PCL-R Really the “Unparalleled” Measure of Offender Risk?328 cited
  • 2024Violence and Mental Disorder285 cited

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2001
The Accuracy of Five Risk Appraisal Instruments in Predicting Institutional Misconduct and New Convictions
256 cited
  • 2005An Actuarial Model of Violence Risk Assessment for Persons With Mental Disorders255 cited
  • Cited by

    • 2012Which Method Predicts Recidivism Best?: A Comparison of Statistical, Machine Learning and Data Mining Predictive Models129 cited
    • 2015Metric Sex Determination of the Human Coxal Bone on a Virtual Sample using Decision Trees18 cited
    • 2019‘Be the match’. Predictors of decisions concerning registration in potential bone marrow donor registry in a group of Polish young adults as an example of prosocial behaviour8 cited
    • 2014Two Methodologies for Predicting Patent Litigation Outcomes: Logistic Regression Versus Classification Trees7 cited