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Fractional polynomials is a method of fitting regression models using a set of fractional polynomial transformations of the independent variables. The set often includes -2, -1, -0.5, log, 0.5, 1, 2 and 3. Combinations (e.g. log x and x^(3/2)) are also possible.

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How to implement a fractional polynomial transformation in R for logistic regression

I'm working on a data set modeling road kills (0 = random point, 1 = road kill) as a function of a number of habitat variables. Following Hosmer and Lemeshow, I've examined each continuous predictor …
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