Inappropriate survey design analysis of the Korean National Health and Nutrition Examination Survey may produce biased results.
Objectives: The inherent nature of the Korean National Health and Nutrition Examination Survey (KNHANES) design requires special analysis by incorporating sample weights, stratification, and clustering not used in ordinary statistical procedures.Methods: This study investigated the proportion of res...
| Publicado en: | Journal of Preventive Medicine & Public Health Vol. 46; no. 2; pp. 96 - 105 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Korean Society for Preventive Medicine
Mar2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109855743&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109855743 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19758375 5G2I jtl: Journal of Preventive Medicine & Public Health issn: 19758375 maglogo: N pubinfo: dt: Mar2013 vid: 46 iid: 2 pid: 42498 pub: Korean Society for Preventive Medicine place: , <Blank> artinfo: ui: 109855743 NLM23573374 2012081214 10.3961/jpmph.2013.46.2.96 NLM23573374 PMC3615385 109855743 ppf: 96 ppct: 9 formats: tig: atl: Inappropriate survey design analysis of the Korean National Health and Nutrition Examination Survey may produce biased results. aug: au: Kim, Yangho Park, Sunmin Kim, Nam-Soo Lee, Byung-Kook affil: Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea. sug: subj: Study Design Surveys Adult Aged Blood Pressure Bone Density Cadmium Blood Creatinine Blood Female Hemoglobins Analysis Human Lead Blood Male Mercury Blood Middle Age PubMed South Korea Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Objectives: The inherent nature of the Korean National Health and Nutrition Examination Survey (KNHANES) design requires special analysis by incorporating sample weights, stratification, and clustering not used in ordinary statistical procedures.Methods: This study investigated the proportion of research papers that have used an appropriate statistical methodology out of the research papers analyzing the KNHANES cited in the PubMed online system from 2007 to 2012. We also compared differences in mean and regression estimates between the ordinary statistical data analyses without sampling weight and design-based data analyses using the KNHANES 2008 to 2010.Results: Of the 247 research articles cited in PubMed, only 19.8% of all articles used survey design analysis, compared with 80.2% of articles that used ordinary statistical analysis, treating KNHANES data as if it were collected using a simple random sampling method. Means and standard errors differed between the ordinary statistical data analyses and design-based analyses, and the standard errors in the design-based analyses tended to be larger than those in the ordinary statistical data analyses.Conclusions: Ignoring complex survey design can result in biased estimates and overstated significance levels. Sample weights, stratification, and clustering of the design must be incorporated into analyses to ensure the development of appropriate estimates and standard errors of these estimates. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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