A Finite Population Likelihood Ratio Test of the Sharp Null Hypothesis for Compliers

被引：0
|
作者：
Loh, Wen Wei [1 ]
Richardson, Thomas S. [1 ]
机构：
[1] Univ Washington, Dept Stat, Seattle, WA 98195 USA
来源：
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE | 2015年
关键词：
INFERENCE;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In a randomized experiment with noncompliance, scientific interest is often in testing whether the treatment exposure X has an effect on the final outcome Y. We propose a finite-population significance test of the sharp null hypothesis that X has no effect on Y, within the principal stratum of Compliers, using a generalized likelihood ratio test. We present a new algorithm that solves the corresponding integer programs.
引用
收藏
页码：523 / 532
页数：10
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