Evaluating costs with unmeasured confounding: a sensitivity analysis for the treatment effect

DOI10.1214/13-AOAS665zbMath1283.62219arXiv1401.1683OpenAlexW3100516425WikidataQ41979676 ScholiaQ41979676MaRDI QIDQ2441849

Elizabeth A. Handorf, Nandita Mitra, Justin E. Bekelman, Daniel F. Heitjan

Publication date: 28 March 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.1683

zbMATH Keywords

censored costsSEER-Medicare

Mathematics Subject Classification ID

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

Related Items

False discovery rate control for effect modification in observational studies

Cites Work

• The sensitivity of linear regression coefficients' confidence limits to the omission of a confounder
• Mathematical modeling, control, computer simulation and laboratory experiments of a spatial servopneumatic parallel robot.
• Median Regression with Censored Cost Data
• Case-control studies: Assessing the effect of a confounding factor
• Sensitivity Analysis: Distributional Assumptions and Confounding Assumptions
• Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data
• The central role of the propensity score in observational studies for causal effects
• Estimating Medical Costs from Incomplete Follow-Up Data
• Linear regression analysis of censored medical costs
• Estimating medical costs with censored data
• Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies
• Using inverse-weighting in cost-effectiveness analysis with censored data

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