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Designing comparative experiments

Nature Methods volume 11, pages 597–598 (2014)Cite this article

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Good experimental designs limit the impact of variability and reduce sample-size requirements.

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Figure 1: Design and reporting of a single-factor experiment with three levels using a two-sample t-test.
Figure 2: Sources of variability, conceptualized as circles with measurements (xi, yi) from different aliquots (x,y) randomly sampled within them.
Figure 3: Design and reporting for a paired, single-factor experiment.

References

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Authors and Affiliations

  1. Martin Krzywinski is a staff scientist at Canada's Michael Smith Genome Sciences Centre.,

    Martin Krzywinski

  2. Naomi Altman is a Professor of Statistics at The Pennsylvania State University.,

    Naomi Altman

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  1. Martin Krzywinski
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  2. Naomi Altman
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The authors declare no competing financial interests.

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Krzywinski, M., Altman, N. Designing comparative experiments. Nat Methods 11, 597–598 (2014). https://doi.org/10.1038/nmeth.2974

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