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Updated: Sep 9, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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通过整数编程对随机化测试中的二进制结果错误分类的灵敏度分析

Siyu Heng1, Pamela A Shaw2

  • 1Department of Biostatistics, New York University.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America
|August 29, 2025
PubMed
概括

这项研究引入了一种新方法来评估因结果数据不准确而导致的随机实验偏差. 这种方法有助于确保可靠的因果推断,即使测量不完美.

关键词:
费舍尔的尖零点尼曼的弱点为零基于设计的因果推断整数编程匹配的观察研究随机推断

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