Closed form prediction intervals applied for disease counts

Hsiuying Wang*

*Corresponding author for this work

研究成果: Article同行評審

12 引文 斯高帕斯(Scopus)

摘要

The prediction interval is an important tool in medical applications for predicting the number of times a disease will occur in a population. The performance of the existing prediction intervals, however, is unsatisfactory when the true proportion is near a boundary. Since the true proportion can be very small in real applications, in this article, we propose improved prediction intervals with better coverage probability than the existing methods. Their predictive distributions are compared in terms of the Kullback-Leibler distance and the intervals are compared using a hearing screening medical example.

原文English
頁(從 - 到)250-256
頁數7
期刊American Statistician
64
發行號3
DOIs
出版狀態Published - 1 五月 2010

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