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Decision making in kidney paired donation programs with altruistic donors
Li, Yijiang (Google Inc)
Song, Peter X. -K. (University of Michigan. Department of Biostatistics)
Leichtman, Alan B. (University of Michigan. Department of Internal Medicine)
Rees, Michael A. (University of Toledo Medical Center (Toledo, Estats Units d'Amèrica))
Kalbfleisch, John D. (University of Michigan. Department of Biostatistics)

Data: 2014
Resum: In recent years, kidney paired donation has been extended to include living non-directed or altruistic donors, in which an altruistic donor donates to the candidate of an incompatible donorcandidate pair with the understanding that the donor in that pair will further donate to the candidate of a second pair, and so on; such a process continues and thus forms an altruistic donor-initiated chain. In this paper, we propose a novel strategy to sequentially allocate the altruistic donor (or bridge donor) so as to maximize the expected utility; analogous to the way a computer plays chess, the idea is to evaluate different allocations for each altruistic donor (or bridge donor) by looking several moves ahead in a derived look-ahead search tree. Simulation studies are provided to illustrate and evaluate our proposed method.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès
Document: article ; recerca ; publishedVersion
Matèria: Altruistic donors ; Decision analysis ; Kidney paired donation ; Look-ahead search tree
Publicat a: SORT : statistics and operations research transactions, Vol. 38, Núm. 1 (January-June 2014) , p. 53-72, ISSN 1696-2281

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