Calibrating Sensitivity Analyses to Observed Covariates in Observational Studies

DOI10.1111/biom.12101zbMath1284.62655OpenAlexW1489232138WikidataQ44509019 ScholiaQ44509019MaRDI QIDQ5407994

Jesse Y. Hsu, Dylan S. Small

Publication date: 8 April 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12101

zbMATH Keywords

causal inferencehidden biassimultaneous sensitivity analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (13)

False discovery rate control for effect modification in observational studies ⋮ Semiparametric estimation for average causal effects using propensity score-based spline ⋮ Sharpening the Rosenbaum Sensitivity Bounds to Address Concerns About Interactions Between Observed and Unobserved Covariates ⋮ New multivariate tests for assessing covariate balance in matched observational studies ⋮ Conformal Sensitivity Analysis for Individual Treatment Effects ⋮ Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing ⋮ Isolation in the construction of natural experiments ⋮ The cross-cut statistic and its sensitivity to bias in observational studies with ordered doses of treatment ⋮ Extended sensitivity analysis for heterogeneous unmeasured confounding with an application to sibling studies of returns to education ⋮ Optimal Tradeoffs in Matched Designs Comparing US-Trained and Internationally Trained Surgeons ⋮ Alternative sensitivity analyses for regression estimates of treatment effects to unobserved confounding in binary and survival data ⋮ Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level ⋮ Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding

Uses Software

• optmatch

Cites Work

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• Simultaneous sensitivity analysis for observational studies using full matching or matching with multiple controls
• The sensitivity of linear regression coefficients' confidence limits to the omission of a confounder
• Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions
• The central role of the propensity score in observational studies for causal effects
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Dual and simultaneous sensitivity analysis for matched pairs
• Asymptotic Separability in Sensitivity Analysis

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