Abstract
Non-linear relationships in clinical research are often linear after logarithmic transformations. Odds ratios, log likelihood ratios, Markov models and many regression models are models that make use of it. An example with real data is given. We have to add that logarithmic transformation is not always successful, and that alternative methods are available like Box Cox transformation, and computationally intensive methods like spline and Loess modeling (see Chap. 24. In: Statistics Applied to Clinical Studies, Springer New York, 5th edition, 2012, and the Chap. 14 of “SPSS for Starters”, Part 2, Springer New York, 2012, both from the same authors). However, these methods generally require statistical.
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Cleophas, T.J., Zwinderman, A.H. (2012). Non-Linear Modeling on a Pocket Calculator. In: Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2. SpringerBriefs in Statistics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4704-3_9
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DOI: https://doi.org/10.1007/978-94-007-4704-3_9
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Publisher Name: Springer, Dordrecht
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