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Bayesian Variable Selection For High-Dimensional Data With An Ordinal Response: Application Predicting Prognostic Risk Group In Acute Myeloid Leukemia

2021-06-11

Abstract excerpt

<h4>Background: </h4> Acute myeloid leukemia (AML) is a heterogeneous cancer of the blood, though specific recurring cytogenetic abnormalities in AML strongly are associated with attaining complete response after induction chemotherapy, remission duration, and survival. Therefore recurring cytogenetic abnormalities have been used to segregate patients into favorable, intermediate, and adverse prognostic risk group...

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Literature Corpus work
018890fc-aae1-56bc-8979-2bcdc8510cab
DOI
10.21203/rs.3.rs-581629/v1
Open publication

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Bayesian Variable Selection For High-Dimensional Data With An Ordinal Response: Application Predicting Prognostic Risk Group In Acute Myeloid LeukemiaDOI 10.21203/rs.3.rs-581629/v1
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