A multivariable approach for risk markers from pooled molecular data with only partial overlap

A multivariable approach for risk markers from pooled molecular data with only partial overlap

Abstract Background Increasingly, molecular measurements from multiple studies are pooled to identify risk scores, with only partial overlap of measurements available from different studies. Univariate analyses of such markers have routinely been performed in such settings using meta-analysis techni...

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Bibliographic Details
Main Authors: Anne-Sophie Stelzer, Livia Maccioni, Aslihan Gerhold-Ay, Karin E. Smedby, Martin Schumacher, Alexandra Nieters, Harald Binder
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Medical Genetics
Subjects:
Regularized regression
Single nucleotide polymorphism
Multivariable model
Partial overlap
Consortium
Online Access:http://link.springer.com/article/10.1186/s12881-019-0849-0

Internet

http://link.springer.com/article/10.1186/s12881-019-0849-0

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