Dissonant Conclusions When Testing the Validity of an Instrumental Variable

DOI10.1080/00031305.2014.962764OpenAlexW2044833268WikidataQ58145787 ScholiaQ58145787MaRDI QIDQ5877678

Scott A. Lorch, Dylan S. Small, José R. Zubizarreta, Fan Yang, Paul R. Rosenbaum

Publication date: 15 February 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2014.962764

zbMATH Keywords

instrumental variablecausal inferenceobservational studyaporiahealth outcomes research

Mathematics Subject Classification ID

Statistics (62-XX)

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Cites Work

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• Stronger instruments via integer programming in an observational study of late preterm birth outcomes
• Semiparametric Estimation and Inference for Distributional and General Treatment Effects
• Amplification of Sensitivity Analysis in Matched Observational Studies
• Identification of Causal Effects Using Instrumental Variables
• Two further applications of a model for binary regression
• Robust, Accurate Confidence Intervals with a Weak Instrument: Quarter of Birth and Education
• Attributing Effects to Treatment in Matched Observational Studies
• Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants

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