Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health survey.
Purpose: Missing items are common in quality of life (QoL) questionnaires and present a challenge for research in this field. It remains unclear which of the various methods proposed to deal with missing data performs best in this context. We compared personal mean score, full information maximum li...
| Publicado en: | Quality of Life Research Vol. 20; no. 2; pp. 287 - 301 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2011
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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=58133494&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 58133494 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Mar2011 vid: 20 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 58133494 58133494 NLM20882358 58133494 10.1007/s11136-010-9740-3 NLM20882358 58133494 ppf: 287 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health survey. aug: au: Peyre, Hugo Leplège, Alain Coste, Joël Leplège, Alain Coste, Joël affil: Biostatistics and Epidemiology Unit, Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Nancy-Université, Université Paris-Descartes, Université Metz Paul Verlaine, Research unit APEMAC, EA 4360, 27 rue du Faubourg Saint-Jacques 75674 Paris Cedex 14 France sug: subj: Bias (Research) Quality of Life Surveys Surveys Equipment and Supplies Data Analysis, Statistical Female Human Male France Probability Validation Studies Comparative Studies Evaluation Research Multicenter Studies Short Form-36 Health Survey (SF-36) Female Male ab: Purpose: Missing items are common in quality of life (QoL) questionnaires and present a challenge for research in this field. It remains unclear which of the various methods proposed to deal with missing data performs best in this context. We compared personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques using various realistic simulation scenarios of item missingness in QoL questionnaires constructed within the framework of classical test theory.Methods: Samples of 300 and 1,000 subjects were randomly drawn from the 2003 INSEE Decennial Health Survey (of 23,018 subjects representative of the French population and having completed the SF-36) and various patterns of missing data were generated according to three different item non-response rates (3, 6, and 9%) and three types of missing data (Little and Rubin's "missing completely at random," "missing at random," and "missing not at random"). The missing data methods were evaluated in terms of accuracy and precision for the analysis of one descriptive and one association parameter for three different scales of the SF-36.Results: For all item non-response rates and types of missing data, multiple imputation and full information maximum likelihood appeared superior to the personal mean score and especially to hot deck in terms of accuracy and precision; however, the use of personal mean score was associated with insignificant bias (relative bias <2%) in all studied situations.Conclusions: Whereas multiple imputation and full information maximum likelihood are confirmed as reference methods, the personal mean score appears nonetheless appropriate for dealing with items missing from completed SF-36 questionnaires in most situations of routine use. These results can reasonably be extended to other questionnaires constructed according to classical test theory. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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