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. 2016 Apr 11;16:42. doi: 10.1186/s12874-016-0141-3

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© Kahan et al. 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 2 — Estimated associations for different methods of analysis for y = x². *To obtain the estimated association between f(x) and y for each method of analysis, we first generated a single data set from the model y = x² + ε (where ε ~ N(0, 1). We then fit a linear regression model of the form y = f(x) to obtain the estimated association