Simulation of complex data structures for planning of studies with focus on biomarker comparison

Simulation of complex data structures for planning of studies with focus on biomarker comparison

Abstract Background There are a growing number of observational studies that do not only focus on single biomarkers for predicting an outcome event, but address questions in a multivariable setting. For example, when quantifying the added value of new biomarkers in addition to established risk facto...

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Bibliographic Details
Main Authors: Andreas Schulz, Daniela Zöller, Stefan Nickels, Manfred E. Beutel, Maria Blettner, Philipp S. Wild, Harald Binder
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Medical Research Methodology
Subjects:
Simulation
Planning
Biomarker
Risk prediction
Added value
Random forest
Online Access:http://link.springer.com/article/10.1186/s12874-017-0364-y

Internet

http://link.springer.com/article/10.1186/s12874-017-0364-y

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