Optimal designs for health risk assessments using fractional polynomial models
Fractional polynomials (FP) have been shown to be more flexible than polynomial models for fitting data from an univariate regression model with a continuous outcome but design issues for FP models have lagged. We focus on FPs with a single variable and construct D -optimal designs for estimating mo...
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Veröffentlicht in: | Stochastic environmental research and risk assessment 2022-09, Vol.36 (9), p.2695-2710 |
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Sprache: | eng |
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