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Errors in predictor variables

Nature Methods volume 21, pages 4–6 (2024)Cite this article

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Fig. 1: Noise in the predictor variable generally reduces the magnitude of the slope estimate in simple linear regression.
Fig. 2: Slope attenuation bias correction using replicates of W.

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Acknowledgements

The authors gratefully acknowledge David Ruppert (Cornell University) for contributions to the manuscript.

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Authors and Affiliations

  1. Department of Statistics, The Pennsylvania State University, State College, PA, USA

    Naomi Altman

  2. Canada’s Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada

    Martin Krzywinski

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  1. Naomi Altman
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  2. Martin Krzywinski
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Correspondence to Martin Krzywinski.

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Altman, N., Krzywinski, M. Errors in predictor variables. Nat Methods 21, 4–6 (2024). https://doi.org/10.1038/s41592-023-02119-z

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