Authors:	Schulz, Andreas Zöller, Daniela Nickels, Stefan Beutel, Manfred E. Blettner, Maria Wild, Philipp Binder, Harald
Title:	Simulation of complex data structures for planning of studies with focus on biomarker comparison
Online publication date:	14-Oct-2022
Year of first publication:	2017
Language:	english
Abstract:	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 factors, the aim might be to rank several new markers with respect to their prediction performance. This makes it important to consider the marker correlation structure for planning such a study. Because of the complexity, a simulation approach may be required to adequately assess sample size or other aspects, such as the choice of a performance measure.
DDC:	610 Medizin 610 Medical sciences
Institution:	Johannes Gutenberg-Universität Mainz
Department:	FB 04 Medizin
Place:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-8001
Version:	Published version
Publication type:	Zeitschriftenaufsatz
License:	CC BY
Information on rights of use:	https://creativecommons.org/licenses/by/4.0/
Journal:	BMC medical research methodology 17
Pages or article number:	Art. 90
Publisher:	BioMed Central
Publisher place:	London
Issue date:	2017
ISSN:	1471-2288
Publisher URL:	http://dx.doi.org/10.1186/s12874-017-0364-y
Publisher DOI:	10.1186/s12874-017-0364-y
Appears in collections:	DFG-OA-Publizieren (2012 - 2017)