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Classification and regression tree has been useful in medical research to construct algorithms for disease diagnosis or prognostic prediction. Jin <italic>et al.</italic>7 developed a robust and cost-saving tree (RACT) algorithm with application in classification of hip fracture risk after 5-year follow-up based...
Persistent link: https://www.econbiz.de/10010976166
We proposed a permutation test for non-inferiority of the linear discriminant function to the optimal combination of multiple tests based on the Mann-Whitney statistic estimate of the area under the receiver operating characteristic curve. Monte Carlo simulations showed the proposed test had...
Persistent link: https://www.econbiz.de/10005313839
In this study, we explore collaboration between universities and industrial entities in the development of Chinese high-tech industries from the 1980s to the 2000s. For developing countries, the creation and cultivation of high-tech industries can be the key to economic development in a...
Persistent link: https://www.econbiz.de/10010842023
Schwertmannite is a promising material for environmental applications with excellent for metal oxygen anions. The acid mine drainage (AMD) rich in iron and sulfate ions could be mineralized into schwertmannite to achieve resource recycling while purifying water quality. Conventional chemical...
Persistent link: https://www.econbiz.de/10014359944
Multiple alternative diagnostic tests for one disease are commonly available to clinicians. It is important to use all the good diagnostic predictors simultaneously to establish a new predictor with higher statistical utility. Under the generalized linear model for binary outcomes, the linear...
Persistent link: https://www.econbiz.de/10008474298
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Non-inferiority of one treatment to another based on ratio is a common issue in medical research. Nam and Blackwelder derived a Fieller-type statistic from constrained maximum likelihood estimation of nuisance parameters. Although it improved that of Lachenbruch and Lynch, its size still exceeds...
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