Literature DB >> 6875003

Hospitalization length of insanity acquittees.

H J Steadman, R A Pasewark, M Hawkins, M Kiser, S Bieber.   

Abstract

Used step-wise multiple regression procedures to predict length of hospitalization of 225 defendants acquitted by reason of insanity in New York state. Of the 21 variables considered, only 9 (severity of offense, sex, marital status, days prior imprisonment, homicide offense, days previous civil hospitalization, educational level, race, number of victims) contributed to the significance of the regression equation. However, these accounted for but 11% of the observed variance.

Mesh:

Year:  1983        PMID: 6875003     DOI: 10.1002/1097-4679(198307)39:4<611::aid-jclp2270390427>3.0.co;2-z

Source DB:  PubMed          Journal:  J Clin Psychol        ISSN: 0021-9762


  2 in total

1.  Identifying Direct Coercion in a High Risk Subgroup of Offender Patients With Schizophrenia via Machine Learning Algorithms.

Authors:  Moritz Philipp Günther; Johannes Kirchebner; Steffen Lau
Journal:  Front Psychiatry       Date:  2020-05-13       Impact factor: 4.157

2.  Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach.

Authors:  Johannes Kirchebner; Moritz Philipp Günther; Martina Sonnweber; Alice King; Steffen Lau
Journal:  BMC Psychiatry       Date:  2020-05-06       Impact factor: 3.630

  2 in total

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