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Assessing the reporting of categorised quantitative variables in observational epidemiological studies.

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Title: Assessing the reporting of categorised quantitative variables in observational epidemiological studies.
Authors: Mabikwa OV; Division of Epidemiology and Biostatistics, LICAMM, School of Medicine, University of Leeds, Leeds, UK. umovm@leeds.ac.uk., Greenwood DC; Division of Epidemiology and Biostatistics, LICAMM, School of Medicine, University of Leeds, Leeds, UK., Baxter PD; Division of Epidemiology and Biostatistics, LICAMM, School of Medicine, University of Leeds, Leeds, UK., Fleming SJ; Section of Epidemiology and Biostatistics, LICAP, School of Medicine, University of Leeds, Leeds, UK.
Source: BMC health services research [BMC Health Serv Res] 2017 Mar 14; Vol. 17 (1), pp. 201. Date of Electronic Publication: 2017 Mar 14.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Mabikwa+OV%22">Mabikwa OV</searchLink>; Division of Epidemiology and Biostatistics, LICAMM, School of Medicine, University of Leeds, Leeds, UK. umovm@leeds.ac.uk.<br /><searchLink fieldCode="AU" term="%22Greenwood+DC%22">Greenwood DC</searchLink>; Division of Epidemiology and Biostatistics, LICAMM, School of Medicine, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Baxter+PD%22">Baxter PD</searchLink>; Division of Epidemiology and Biostatistics, LICAMM, School of Medicine, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Fleming+SJ%22">Fleming SJ</searchLink>; Section of Epidemiology and Biostatistics, LICAP, School of Medicine, University of Leeds, Leeds, UK.
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