Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores

DOI10.1007/S10479-013-1359-7zbMath1296.90073OpenAlexW3121668474MaRDI QIDQ744702

Galit Shmueli, Inbal Yahav

Publication date: 26 September 2014

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: http://eprints.exchange.isb.edu/161/1/lifetime_r2.pdf

zbMATH Keywords

simulationsurvival analysisselection biaspropensity scoreskidney allocationpre-transplant survival rate

Mathematics Subject Classification ID

Discrete location and assignment (90B80)

Uses Software

• bootstrap

Cites Work

• Unnamed Item
• RE-EM trees: a data mining approach for longitudinal and clustered data
• Evaluating bias correction in weighted proportional hazards regression
• A general hazard regression model for accelerated life testing
• Proportional hazards models based on biased samples and estimated selection probabilities
• The central role of the propensity score in observational studies for causal effects
• Robust Estimation: A Weighted Maximum Likelihood Approach
• On fitting Cox's proportional hazards models to survey data
• Survival analysis. A self-learning text.

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