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A Comparison of Methods for Estimating the Causal Effect of a Treatment in Randomized Clinical Trials Subject to Noncompliance

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  • Roderick J. Little
  • Qi Long
  • Xihong Lin

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  • Roderick J. Little & Qi Long & Xihong Lin, 2009. "A Comparison of Methods for Estimating the Causal Effect of a Treatment in Randomized Clinical Trials Subject to Noncompliance," Biometrics, The International Biometric Society, vol. 65(2), pages 640-649, June.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:2:p:640-649
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01066.x
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    References listed on IDEAS

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    1. Constantine E. Frangakis & Donald B. Rubin, 2002. "Principal Stratification in Causal Inference," Biometrics, The International Biometric Society, vol. 58(1), pages 21-29, March.
    2. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    3. Yahong Peng & Roderick J. A. Little & Trivellore E. Raghunathan, 2004. "An Extended General Location Model for Causal Inferences from Data Subject to Noncompliance and Missing Values," Biometrics, The International Biometric Society, vol. 60(3), pages 598-607, September.
    4. Janevic, Mary R. & Janz, Nancy K. & Dodge, Julia A. & Lin, Xihong & Pan, Wenqin & Sinco, Brandy R. & Clark, Noreen M., 2003. "The role of choice in health education intervention trials: a review and case study," Social Science & Medicine, Elsevier, vol. 56(7), pages 1581-1594, April.
    5. Guido W. Imbens & Donald B. Rubin, 1997. "Estimating Outcome Distributions for Compliers in Instrumental Variables Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 555-574.
    6. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
    7. Brookhart M. Alan & Schneeweiss Sebastian, 2007. "Preference-Based Instrumental Variable Methods for the Estimation of Treatment Effects: Assessing Validity and Interpreting Results," The International Journal of Biostatistics, De Gruyter, vol. 3(1), pages 1-25, December.
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    Cited by:

    1. Vance, Colin & Ritter, Nolan, 2012. "The Phantom Menace of Omitted Variables. A Comment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(2), pages 233-238.
    2. Nolan Ritter & Colin Vance, 2011. "The Phantom Menace of Omitted Variables – A Comment," Ruhr Economic Papers 0282, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    3. Colin Vance & Nolan Ritter, 2012. "The Phantom Menace of Omitted Variables," Conflict Management and Peace Science, Peace Science Society (International), vol. 29(2), pages 233-238, April.
    4. Emmanuel Grellety & Susan Shepherd & Thomas Roederer & Mahamane L Manzo & Stéphane Doyon & Eric-Alain Ategbo & Rebecca F Grais, 2012. "Effect of Mass Supplementation with Ready-to-Use Supplementary Food during an Anticipated Nutritional Emergency," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-8, September.
    5. Andrew I. Friedson, 2018. "Medical Scribes as an Input in Health-Care Production: Evidence from a Randomized Experiment," American Journal of Health Economics, University of Chicago Press, vol. 4(4), pages 479-503, Fall.
    6. Qi Long & Roderick J. A. Little & Xihong Lin, 2010. "Estimating causal effects in trials involving multitreatment arms subject to non‐compliance: a Bayesian framework," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(3), pages 513-531, May.
    7. VanderWeele Tyler J, 2011. "Principal Stratification -- Uses and Limitations," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-14, July.
    8. Silvia Moler‐Zapata & Richard Grieve & Anirban Basu & Stephen O’Neill, 2023. "How does a local instrumental variable method perform across settings with instruments of differing strengths? A simulation study and an evaluation of emergency surgery," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2113-2126, September.
    9. Helmers, Christian & Patnam, Manasa & Rau, P. Raghavendra, 2017. "Do board interlocks increase innovation? Evidence from a corporate governance reform in India," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 51-70.
    10. Omar Galárraga & Sandra Sosa-Rubí & Aarón Salinas-Rodríguez & Sergio Sesma-Vázquez, 2010. "Health insurance for the poor: impact on catastrophic and out-of-pocket health expenditures in Mexico," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(5), pages 437-447, October.
    11. Martijn van Hasselt & Timothy Ferland & Jeremy Bray & Arnie Aldridge, 2017. "Bayesian Estimation of the Complier Average Casual Effect," UNCG Economics Working Papers 17-14, University of North Carolina at Greensboro, Department of Economics.

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