PMID: identifiant
de la référence Pubmed : |
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 (20815883)  |
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| titre : |
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Multiple imputation for estimation of an occurrence rate in cohorts with attrition and discrete follow-up time points: a simulation study. |
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| auteur(s) : |
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Noémie Soullier1, Elise de La Rochebrochard1, Jean Bouyer ( ) 1 |
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| laboratoire : |
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| résumé : |
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BACKGROUND: In longitudinal cohort studies, subjects may be lost to follow-up at any time during the study. This leads to attrition and thus to a risk of inaccurate and biased estimations. The purpose of this paper is to show how multiple imputation can take advantage of all the information collected during follow-up in order to estimate the cumulative probability P(E) of an event E, when the first occurrence of this event is observed at t successive time points of a longitudinal study with attrition. METHODS: We compared the performance of multiple imputation with that of Kaplan-Meier estimation in several simulated attrition scenarios. RESULTS: In missing-completely-at-random scenarios, the multiple imputation and Kaplan-Meier methods performed well in terms of bias (less than 1%) and coverage rate (range = [94.4%; 95.8%]). In missing-at-random scenarios, the Kaplan-Meier method was associated with a bias ranging from -5.1% to 7.0% and with a very poor coverage rate (as low as 0.2%). Multiple imputation performed much better in this situation (bias <2%, coverage rate >83.4%). CONCLUSIONS: Multiple imputation shows promise for estimation of an occurrence rate in cohorts with attrition. This study is a first step towards defining appropriate use of multiple imputation in longitudinal studies. |
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| domaine : |
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langue du texte
intégral : |
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Anglais |
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| ISSN : |
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1471-2288 |
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| type de publication : |
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Articles dans des revues avec comité de lecture |
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| DOI : |
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10.1186/1471-2288-10-79 |
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| journal : |
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| BMC Medical Research Methodology (BMC Med Res Methodol) |
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BioMed Central |
| ISSN |
1471-2288 |
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| Audience : |
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internationale |
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| date de publication : |
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2010 |
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date de publication
électronique : |
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03/09/2010 |
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| volume : |
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10 |
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| numéro : |
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1 |
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| page, identifiant, ... : |
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79 |
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| contrat, financement : |
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This work was supported by the French Institute for Public Health Research (IReSP); and the Ile-de-France Region [doctoral grant to NS]. |
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