A comparison of statistical models in predicting violence in psychotic illness.
BACKGROUND: The application of statistical modeling techniques, including classification and regression trees, in the prediction of violence has increasingly received attention. METHODS: The predictive performance of logistic regression and classification tree methods in predicting violence was exp...
| Main Authors: | , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2005
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| _version_ | 1797076832684605440 |
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| author | Thomas, S Leese, M Walsh, E McCrone, P Moran, P Burns, T Creed, F Tyrer, P Fahy, T |
| author_facet | Thomas, S Leese, M Walsh, E McCrone, P Moran, P Burns, T Creed, F Tyrer, P Fahy, T |
| author_sort | Thomas, S |
| collection | OXFORD |
| description | BACKGROUND: The application of statistical modeling techniques, including classification and regression trees, in the prediction of violence has increasingly received attention. METHODS: The predictive performance of logistic regression and classification tree methods in predicting violence was explored in a sample of patients with psychotic illness. RESULTS: Of 2 logistic regression models, the forward stepwise method produced a simpler model than the full model, but the latter performed better. The performance of the classification tree appeared to be high before cross-validation, but reduced when cross-validated. The standard logistic model was the most robust model. A simplified tree with extra weight given to violent cases was a reasonable competitor and was simple to apply. CONCLUSION: Although classification trees can be suitable for routine clinical practice, because of the simplicity of their decision-making processes, their robustness and therefore clinical utility was problematic in this sample. Further research is required to compare such models in large prospective epidemiologic studies of other psychiatric populations. |
| first_indexed | 2024-03-07T00:09:23Z |
| format | Journal article |
| id | oxford-uuid:78ad7f5a-1c42-42a7-9f66-5bf8e032ba56 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:09:23Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | oxford-uuid:78ad7f5a-1c42-42a7-9f66-5bf8e032ba562022-03-26T20:32:23ZA comparison of statistical models in predicting violence in psychotic illness.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:78ad7f5a-1c42-42a7-9f66-5bf8e032ba56EnglishSymplectic Elements at Oxford2005Thomas, SLeese, MWalsh, EMcCrone, PMoran, PBurns, TCreed, FTyrer, PFahy, T BACKGROUND: The application of statistical modeling techniques, including classification and regression trees, in the prediction of violence has increasingly received attention. METHODS: The predictive performance of logistic regression and classification tree methods in predicting violence was explored in a sample of patients with psychotic illness. RESULTS: Of 2 logistic regression models, the forward stepwise method produced a simpler model than the full model, but the latter performed better. The performance of the classification tree appeared to be high before cross-validation, but reduced when cross-validated. The standard logistic model was the most robust model. A simplified tree with extra weight given to violent cases was a reasonable competitor and was simple to apply. CONCLUSION: Although classification trees can be suitable for routine clinical practice, because of the simplicity of their decision-making processes, their robustness and therefore clinical utility was problematic in this sample. Further research is required to compare such models in large prospective epidemiologic studies of other psychiatric populations. |
| spellingShingle | Thomas, S Leese, M Walsh, E McCrone, P Moran, P Burns, T Creed, F Tyrer, P Fahy, T A comparison of statistical models in predicting violence in psychotic illness. |
| title | A comparison of statistical models in predicting violence in psychotic illness. |
| title_full | A comparison of statistical models in predicting violence in psychotic illness. |
| title_fullStr | A comparison of statistical models in predicting violence in psychotic illness. |
| title_full_unstemmed | A comparison of statistical models in predicting violence in psychotic illness. |
| title_short | A comparison of statistical models in predicting violence in psychotic illness. |
| title_sort | comparison of statistical models in predicting violence in psychotic illness |
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