Sensitivity Analysis via the Proportion of Unmeasured Confounding
Author:
Affiliation:
1. Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA
Funder
NSF
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1864382
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1. Using Selection on Observed Variables to Assess Bias from Unobservables when Evaluating Swan-Ganz Catheterization
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