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Mar, 2012
一类危害效应估计的偏倚放大变量
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates
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Judea Pearl
TL;DR
研究分析因果效应时,如果以特定变量作为条件,可能会放大混淆偏差。研究表明,调节工具变量在非线性模型中也存在这种偏差放大的潜力,而对工具变量进行条件调节可能会在先前不存在偏差的情况下引入新的偏差。不管是在线性模型还是非线性模型中,工具变量对选择引起的偏差均无影响。
Abstract
This note deals with a class of variables that, if conditioned on, tends to amplify
confounding bias
in the analysis of
causal effects
. This class, independently discovered by Bhattacharya and Vogt (2007) and Woo
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