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Estimating the probability of positive crossmatch after negative virtual crossmatch

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  • Glorie, K.M.

Abstract

This paper estimates the probability of virtual crossmatch failure in kidney exchange matching. In particu-lar, the probability of a positive crossmatch after a negative virtual crossmatch is related to the recipient’s PRA level. Using Dutch kidney exchange data, we find significant evidence that this probability increases non-linearly with PRA level. We estimate a probit model that describes this relationship.

Suggested Citation

  • Glorie, K.M., 2012. "Estimating the probability of positive crossmatch after negative virtual crossmatch," Econometric Institute Research Papers EI 2012-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:38650
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    References listed on IDEAS

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    1. Roth, Alvin E. & Sonmez, Tayfun & Unver, Utku & Delmonico, Francis & Saidman, Susan L., 2014. "Utilizing List Exchange and Non-directed Donation through “Chain” Paired Kidney Donations," MPRA Paper 58246, University Library of Munich, Germany.
    2. Saidman, Susan L. & Roth, Alvin E. & Sonmez, Tayfun & Unver, M. Utku & Delmonico, Francis L., 2014. "Increasing the Opportunity of Live Kidney Donation by Matching for Two and Three Way Exchanges," MPRA Paper 58247, University Library of Munich, Germany.
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    Cited by:

    1. John P. Dickerson & Ariel D. Procaccia & Tuomas Sandholm, 2019. "Failure-Aware Kidney Exchange," Management Science, INFORMS, vol. 65(4), pages 1768-1791, April.
    2. Nicolau Santos & Paolo Tubertini & Ana Viana & João Pedro Pedroso, 2017. "Kidney exchange simulation and optimization," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1521-1532, December.
    3. Bart Smeulders & Valentin Bartier & Yves Crama & Frits C. R. Spieksma, 2022. "Recourse in Kidney Exchange Programs," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 1191-1206, March.

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