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Substantial Gains in Bias Reduction from Matching with a Variable Number of Controls

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  • Kewei Ming
  • Paul R. Rosenbaum

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  • Kewei Ming & Paul R. Rosenbaum, 2000. "Substantial Gains in Bias Reduction from Matching with a Variable Number of Controls," Biometrics, The International Biometric Society, vol. 56(1), pages 118-124, March.
    • Handle: RePEc:bla:biomet:v:56:y:2000:i:1:p:118-124
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2000.00118.x
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    Citations

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    Cited by:

    1. Bo Lu, 2005. "Propensity Score Matching with Time-Dependent Covariates," Biometrics, The International Biometric Society, vol. 61(3), pages 721-728, September.
    2. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    3. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    4. Howard Birnbaum & Crystal Pike & Ritesh Banerjee & Tracy Waldman & Mary Cifaldi, 2012. "Changes in Utilization and Costs for Patients with Rheumatoid Arthritis, 1997 to 2006," PharmacoEconomics, Springer, vol. 30(4), pages 323-336, April.
    5. Phuong Nguyen-Hoang, 2012. "Fiscal effects of budget referendums: evidence from New York school districts," Public Choice, Springer, vol. 150(1), pages 77-95, January.
    6. Sameer K Deshpande & Raiden B Hasegawa & Jordan Weiss & Dylan S Small, 2020. "The association between adolescent football participation and early adulthood depression," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-14, March.
    7. repec:zbw:rwidps:0021 is not listed on IDEAS
    8. Michela Bia & Roberto Leombruni & Pierre-Jean Messe, 2009. "Young in-Old out: a new evaluation based on Generalized Propensity Score," LABORatorio R. Revelli Working Papers Series 93, LABORatorio R. Revelli, Centre for Employment Studies.
    9. Jochen Kluve & Boris Augurzky, 2007. "Assessing the performance of matching algorithms when selection into treatment is strong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 533-557.
    10. Paul R. Rosenbaum, 2013. "Impact of Multiple Matched Controls on Design Sensitivity in Observational Studies," Biometrics, The International Biometric Society, vol. 69(1), pages 118-127, March.
    11. Augurzky, Boris & Kluve, Jochen, 2004. "Assessing the performance of matching algorithms when selection into treatment is strong," RWI Discussion Papers 21, RWI - Leibniz-Institut für Wirtschaftsforschung.
    12. Jochen Kluve & Boris Augurzky, 2005. "Assessing the performance of matching algorithms when selection into treatment is strong," RWI Discussion Papers 0021, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
    13. Colin B. Fogarty & Pixu Shi & Mark E. Mikkelsen & Dylan S. Small, 2017. "Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 321-331, January.
    14. Zhenzhen Xu & John D. Kalbfleisch, 2013. "Repeated Randomization and Matching in Multi-Arm Trials," Biometrics, The International Biometric Society, vol. 69(4), pages 949-959, December.
    15. Sylvia Brandt & Sara Gale & Ira Tager, 2012. "The value of health interventions: evaluating asthma case management using matching," Applied Economics, Taylor & Francis Journals, vol. 44(17), pages 2245-2263, June.

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