Comparing the Superiority of Early Prediction Model for Treatment Response of Schizophrenia Established by Different Statistical Methods
| Autor: | Tzu-I Wu, 吳姿頤 |
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| Rok vydání: | 2007 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 95 The therapeutic period of schizophrenia needs to last at least for 4 to 8 weeks. Because of the complexity of the disease and the diversity medical responses of patients, it is hard for doctors to evaluate the results of medical response of patients by clinical symptoms and individualities before the treatments. It is intensely important to establish an authentic remedy prediction model in order to avoid the patients to accept ineffective medical treatments. The evaluation of the therapeutic effects on schizophrenia is based on the score variation of the certain evaluated scales, for example, Brief Psychiatric Rating Scale and Positive and Negative Syndrome Scale. In the present study, we compared two statistic methods to establish the pros and cons of prediction model. The first statistic method used multiple linear regression to establish prediction model directly by the scores of the scale. The second method determined its effectiveness first. If the scale score after the treatment decreases 20% or more compared with the baseline scale score, the result represents the treatment is effective; otherwise, the treatment is ineffective. Thereafter, we used multiple logistic regression to establish prediction model and then used the method which is brought up by Chang et al. [2006] to predict the effectiveness of the treatment for patients. We compared the diagnostic accuracy of two different prediction methods under various circumstances. As the results from the study, when multiple linear regression was used, the predicted scores of the scale tended to be underestimated. The results represented that multiple linear regression has higher sensitivity but lower specificity. However, the predicted results done by logistic regression has higher specificity but lower sensitivity compare to the results of multiple linear regression.And we compared the areas under the ROC curve of two prediction methods, the area is larger when we use multiple logistic regression to establish a prediction model. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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