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The use of fractional polynomials to model continuous risk variables in epidemiology

International Journal of Epidemiology · 1999 · Vol. 28(5) · pp. 964–974
Patrick RoystonGareth AmblerWilli Sauerbrei

Abstract

Our approach based on fractional polynomials should be considered as an important alternative to the traditional approaches for the analysis of continuous variables in epidemiological studies.

Diverse Scientific and Engineering ResearchAdvanced Statistical Methods and ModelsCategorizationConfoundingGeneralized linear modelEconometricsLog-linear modelOrdinal regressionMathematicsRegression analysisLinear modelLinear regression

MeSH terms

Coronary DiseaseCross-Sectional StudiesEpidemiologic MethodsUnited KingdomHumansMaleModels, CardiovascularMortalityNeoplasmsProspective StudiesRisk FactorsSensitivity and SpecificityLinear ModelsOdds RatioRisk Assessment

Funding

  • Wellcome Trust
Citations
1,076
FWCI
10.63
field-weighted impact
References
50
Percentile
99%
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Citations per year
References
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