BriefGPT.xyz
Mar, 2020
感知与敏感性分析: 由未观测到的混杂因素引起偏差的简单事后分析
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
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Victor Veitch, Anisha Zaveri
TL;DR
本文提出了一种感性分析工具——Austen Plots,用于解决由于观测数据中存在未观察的混淆变量导致的偏差问题,其可反映混淆变量对观测结果的强度。该工具不受初步数据分析方法的限制,可用于不同领域研究问题中的偏差评估。
Abstract
It is a truth universally acknowledged that an observed association without known mechanism must be in want of a causal estimate. However,
causal estimation
from
observational data
often relies on the (untestable
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