Selection of regression models for health care data.
We discuss several linear and nonlinear regression models and their appropriateness in modeling a set of data from a cohort study of the use of medical services in a prepaid medical plan. Although computational considerations once forced researchers to use linear models almost exclusively, modern co...
| Publicado en: | Medical Care pp. 574 - 584 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jul1978
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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=138224510&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138224510 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00257079 21B jtl: Medical Care issn: 00257079 maglogo: N pubinfo: dt: Jul1978 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 138224510 138224510 NLM672269 138224510 NLM672269 138224510 ppf: 574 ppct: 10 formats: tig: atl: Selection of regression models for health care data. aug: au: Horn, S D Yesalis, C E Bartels, R H sug: subj: Models, Theoretical Health Maintenance Organizations Statistics and Numerical Data Regression Time Factors Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: We discuss several linear and nonlinear regression models and their appropriateness in modeling a set of data from a cohort study of the use of medical services in a prepaid medical plan. Although computational considerations once forced researchers to use linear models almost exclusively, modern computer hardware and efficient algorithms have made it possible to use nonlinear models almost as easily as linear ones. Thus, in choosing a regression model, a researcher should give strong consideration to how well the model reflects (presumed) intrinsic properties of the phenomena under study, even if the consideration leads to the choice of a nonlinear model. Modern computer programs for nonlinear minimization should be employed to fit the model. The model should be judged on how well it describes the data and how reasonably it predicts the future. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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