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Related Concept Videos

Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
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Prediction Intervals01:03

Prediction Intervals

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Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
Odds Ratio01:09

Odds Ratio

The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
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Related Experiment Video

Updated: Jul 5, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Predicting violent reconvictions using the HCR-20.

Nicola S Gray1, John Taylor, Robert J Snowden

  • 1School of Psychology, Cardiff University, Cardiff, UK. grayns@cardiff.ac.uk

The British Journal of Psychiatry : the Journal of Mental Science
|May 3, 2008
PubMed
Summary
This summary is machine-generated.

The Historical, Clinical and Risk Management Scales (HCR-20) effectively predict violent and non-violent offending in male forensic patients after discharge. This risk assessment tool aids public safety and care planning for individuals released from secure units.

Related Experiment Videos

Last Updated: Jul 5, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Area of Science:

  • Forensic Psychiatry
  • Clinical Psychology
  • Criminology

Background:

  • Accurate risk assessment for future violence is crucial for public safety and patient care planning.
  • Structured clinical assessments offer a standardized approach to improve risk evaluation accuracy.

Purpose of the Study:

  • To evaluate the effectiveness of the Historical, Clinical and Risk Management Scales (HCR-20) risk assessment tool.
  • To assess the HCR-20's predictive accuracy in a large cohort of male forensic psychiatric patients discharged from UK medium secure units.

Main Methods:

  • A pseudo-prospective study followed 887 male patients for at least 2 years post-discharge.
  • HCR-20 assessments were based solely on pre-discharge information.
  • Post-discharge offending data (violent and other) were collected from official records.

Main Results:

  • The HCR-20 total score demonstrated good predictive capability for both violent and other offenses.
  • Historical and risk sub-scales significantly predicted offending, while the clinical sub-scale did not.
  • Predictive accuracy was highest for periods under 1 year, with a slight decrease over 5 years.

Conclusions:

  • The HCR-20 provides a robust evidence base for predicting violent and non-violent offending in male forensic patients released from medium secure facilities.
  • The findings support the HCR-20's utility in risk management for this population.