- Title
- Automatic identification of variables in epidemiological datasets using logic regression
- Creators
- Matthias W Lorenz - Department of Neurology, University Clinic Frankfurt, Schleusenweg 2-16, D-60528 Frankfurt/Main, GermanyNegin Ashtiani Abdi - Frankfurt/Main, GermanyFrank Scheckenbach - Department of Neurology, University Clinic Frankfurt, Schleusenweg 2-16, D-60528 Frankfurt/Main, GermanyAnja Pflug - Department of Neurology, University Clinic Frankfurt, Schleusenweg 2-16, D-60528 Frankfurt/Main, GermanyAlpaslan Bülbül - Department of Neurology, University Clinic Frankfurt, Schleusenweg 2-16, D-60528 Frankfurt/Main, GermanyAlberico L Catapano - IRCSS Multimedica, Milan, ItalyStefan Agewall - Oslo, NorwayMarat Ezhov - Moscow, RussiaMichiel L Bots - Utrecht, The NetherlandsStefan Kiechl - Innsbruck, AustriaAndreas Orth - Frankfurt/Main, Germany
- Publication Details
- BMC medical informatics and decision making, Vol.17(1), pp.40-40
- Publisher
- BioMed Central; London
- Grant note
- DFG Lo 1569/2-1; DFG Lo 1569/2-3 / ;
- Language
- English
- Resource Type
- Journal article
- PMID
- 28407816
- PMCID
- PMC5390441
- Record Identifier
- 991031578582302976
Journal article
Automatic identification of variables in epidemiological datasets using logic regression
BMC medical informatics and decision making, Vol.17(1), pp.40-40
2017-04-13
PMCID: PMC5390441
PMID: 28407816
Metrics
9 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.189 Genome Studies
- 1.189.455 Genome-Wide Association Studies
- Web Of Science research areas
- Medical Informatics
- ESI research areas
- Clinical Medicine
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites