The informative error: A framework for the construction of individualized phenotypes.
For the goal of individualized medicine, it is critical to have clinical phenotypes at hand which represent the individual pathophysiology. However, for most of the utilized phenotypes, two individuals with the same phenotype assignment may differ strongly in their underlying biological traits. In t...
| Publicado en: | Statistical Methods in Medical Research Vol. 28; no. 5; pp. 1427 - 1439 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Sage Publications Inc.
May2019
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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=135964640&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135964640 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09622802 31F jtl: Statistical Methods in Medical Research issn: 09622802 maglogo: Y pubinfo: dt: May2019 vid: 28 iid: 5 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 135964640 135964640 NLM29468943 135964640 10.1177/0962280218759138 NLM29468943 135964640 ppf: 1427 ppct: 12 formats: tig: atl: The informative error: A framework for the construction of individualized phenotypes. aug: au: Hertel, Johannes Frenzel, Stefan König, Johanna Wittfeld, Katharina Fuellen, Georg Holtfreter, Birte Pietzner, Maik Friedrich, Nele Nauck, Matthias Völzke, Henry Kocher, Thomas Grabe, Hans J affil: Department of Psychiatry and Psychotherapy, 60634 -->University Medicine Greifswald, --> Germany sug: subj: Obesity Epidemiology Epidemiological Research Models, Statistical Phenotype Study Design Germany Human Validation Studies Comparative Studies Evaluation Research Multicenter Studies Scales ab: For the goal of individualized medicine, it is critical to have clinical phenotypes at hand which represent the individual pathophysiology. However, for most of the utilized phenotypes, two individuals with the same phenotype assignment may differ strongly in their underlying biological traits. In this paper, we propose a definition for individualization and a corresponding statistical operationalization, delivering thereby a statistical framework in which the usefulness of a variable in the meaningful differentiation of individuals with the same phenotype can be assessed. Based on this framework, we develop a statistical workflow to derive individualized phenotypes, demonstrating that under specific statistical constraints the prediction error of prediction scores contains information about hidden biological traits not represented in the modeled phenotype of interest, allowing thereby internal differentiation of individuals with the same assigned phenotypic manifestation. We applied our procedure to data of the population-based Study of Health in Pomerania to construct a refined definition of obesity, demonstrating the utility of the definition in prospective survival analyses. Summarizing, we propose a framework for the individualization of phenotypes aiding personalized medicine by shifting the focus in the assessment of prediction models from the model fit to the informational content of the prediction error. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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