Robust Models Support Redistricting Liver Allocation to Reduce Geographic Disparity

Sommer E. Gentry; Dorry L. Segev; Bertram L. Kasiske; David C. Mulligan; Ryutaro Hirose

doi:10.1097/TP.0000000000000834

Robust Models Support Redistricting Liver Allocation to Reduce Geographic Disparity

Sommer E. Gentry, Dorry L. Segev, Bertram L. Kasiske, David C. Mulligan, Ryutaro Hirose

Medicine - Renal and Hypertension Division

Research output: Contribution to journal › Letter › peer-review

10 Scopus citations

Original language	English (US)
Pages (from-to)	e159-e160
Journal	Transplantation
Volume	99
Issue number	9
DOIs	https://doi.org/10.1097/TP.0000000000000834
State	Published - Sep 1 2015

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Funding Information:
This work was supported by an American Recovery and Reinvestment Act grant from the NIH''s National Institute of Diabetes Digestive and Kidney Diseases, RC1 1RC1DK086450-01. This work was also supported by Health Resources Services Administration contract HHSH250201000018C. Neither funding organization had a role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; or preparation, review, or approval of the manuscript.

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title = "Robust Models Support Redistricting Liver Allocation to Reduce Geographic Disparity",

author = "Gentry, {Sommer E.} and Segev, {Dorry L.} and Kasiske, {Bertram L.} and Mulligan, {David C.} and Ryutaro Hirose",

note = "Funding Information: This work was supported by an American Recovery and Reinvestment Act grant from the NIH''s National Institute of Diabetes Digestive and Kidney Diseases, RC1 1RC1DK086450-01. This work was also supported by Health Resources Services Administration contract HHSH250201000018C. Neither funding organization had a role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; or preparation, review, or approval of the manuscript.",

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AU - Kasiske, Bertram L.

AU - Mulligan, David C.

AU - Hirose, Ryutaro

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Robust Models Support Redistricting Liver Allocation to Reduce Geographic Disparity

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