存在干扰情况下的精确置信区间。
Exact Confidence Intervals in the Presence of Interference.
作者信息
Rigdon Joseph, Hudgens Michael G
机构信息
Quantitative Sciences Unit, Stanford University, Palo Alto, California 94304, U.S.A.
Department of Biostatistics, CB 7420, University of North Carolina, Chapel Hill, North Carolina 27516, U.S.A.
出版信息
Stat Probab Lett. 2015 Oct 1;105:130-135. doi: 10.1016/j.spl.2015.06.011.
Abstract
For two-stage randomized experiments assuming partial interference, exact confidence intervals are proposed for treatment effects on a binary outcome. Empirical studies demonstrate the new intervals have narrower width than previously proposed exact intervals based on the Hoeffding inequality.
摘要
对于假设存在部分干扰的两阶段随机实验，本文提出了针对二元结果治疗效果的精确置信区间。实证研究表明，新的区间宽度比先前基于霍夫丁不等式提出的精确区间更窄。
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