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62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

17.09. - 21.09.2017, Oldenburg

The REMARK type profile as an instrument to improve completeness and transparency of statistical analyses

Meeting Abstract

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  • Willi Sauerbrei - Institut für Medizinische Biometrie und Informatik, Universitätsklinikum Freiburg, Freiburg, Deutschland

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Oldenburg, 17.-21.09.2017. Düsseldorf: German Medical Science GMS Publishing House; 2017. DocAbstr. 322

doi: 10.3205/17gmds192, urn:nbn:de:0183-17gmds1923

Published: August 29, 2017

© 2017 Sauerbrei.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

For most types of studies in the health sciences reporting guidelines are available for many years. Nevertheless, there is convincing evidence that the quality of reporting is still poor. The REMARK guidelines for prognostic factor studies were published more than a decade ago and in the corresponding explanation and elaboration paper the REMARK type profile was introduced [1]. It extends usual flow diagrams about the flow of patients by giving an overview of all statistical analyses in a second part.

In the following examples we will illustrate that the reporting of statistical analyses is incomplete and intransparent, confirming disappointing results from a recent overview of such types of studies [2]. We will propose slight extensions to the REMARK type profile and argue that it can be an important step to improve transparency of reporting of all statistical analyses [3].


Literatur

1.
Altman DG, et al. BMC Med. 2012;10(1):51.
2.
Sekula P, et al. PLoS One. 2017, to appear.
3.
Winzer KJ, et al. PLoS ONE. 2016;11(3):e0149977.