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

页码：523 / 532

页数：10

共 20 条

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