A Double Truncated Binomial Model to Assess Psychiatric Health through Brief Psychiatric Rating Scale: When is Intervention Useful?

A. Sabharwal, B. Goyal, Vinit Singh
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Abstract

A double truncated binomial distribution model with ‘u’ classes truncated on left and ‘v’ classes truncated on right is introduced. Its characteristics, namely, generating functions; and the measures of skewness and kurtosis have been obtained. The unknown parameter has been estimated using the method of maximum likelihood and the method of moments. The confidence interval of the estimate has been obtained through Fisher’s information matrix. The model is applied on cross sectional data obtained through Brief Psychiatric Rating Scale (BPRS) administered on a group of school going adolescent students; and the above-mentioned characteristics have been evaluated. An expert, on the basis of the BPRS score values, suggested an intervention program. The BPRS scores of the students who could be administered the intervention program lied in a range (which was above the lowest and below the highest possible values) suggested by the expert. Whereas the complete data suggested the average number of problem areas is four (which was not in consonance with the observations given by the expert), the double truncated model suggested the number of such areas as five which was consistent with the observations made by the expert. This establishes the usefulness of double truncated models in such scenarios.
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通过简明精神病评定量表评估精神病健康状况的双截二项式模型:干预何时有用?
介绍了一个双截断二项分布模型,"u "类在左侧截断,"v "类在右侧截断。该模型的特征,即生成函数,以及偏度和峰度的度量已经得到。使用最大似然法和矩量法估算了未知参数。估计值的置信区间通过费雪信息矩阵获得。该模型应用于通过对一组在校青少年学生进行的简明精神病评定量表(BPRS)获得的横截面数据,并对上述特征进行了评估。专家根据 BPRS 评分值提出了干预方案。可以实施干预方案的学生的 BPRS 分数在专家建议的范围内(高于可能的最低值,低于可能的最高值)。完整数据显示问题领域的平均数量为 4 个(与专家的观察结果不符),而双截断模型显示问题领域的数量为 5 个,与专家的观察结果一致。这证明了双截断模型在这种情况下的实用性。
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