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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 Royston✉(Imperial College London)Gareth Ambler(Imperial College London)Willi Sauerbrei(University of Freiburg)
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%
vs. same field & year
Citations per year
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