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Solutions for quantifying P-value uncertainty and replication power

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Figure 1: Confidence limits for power based on observed P.

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Acknowledgements

We thank the reviewers for their helpful comments and suggestions. This work was supported by the US National Institutes of Health (grant MH086135 to L.C.L. as part of the Consortium on the Genetics of Schizophrenia (COGS)) and the Cooperative Studies Program of the US Department of Veterans Affairs.

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Authors and Affiliations

  1. Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA

    Laura C Lazzeroni

  2. Department of Veterans Affairs, Cooperative Studies Program Palo Alto Coordinating Center, Mountain View, California, USA

    Ying Lu & Ilana Belitskaya-Lévy

  3. Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California, USA

    Ying Lu

Authors
  1. Laura C Lazzeroni
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  2. Ying Lu
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  3. Ilana Belitskaya-Lévy
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Correspondence to Laura C Lazzeroni.

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The authors declare no competing financial interests.

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Supplementary Information

Supplementary Note (PDF 703 kb)

Supplementary Software

Statistical Intervals for P-value Evidence and Power (version 2.0). (XLS 183 kb)

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Lazzeroni, L., Lu, Y. & Belitskaya-Lévy, I. Solutions for quantifying P-value uncertainty and replication power. Nat Methods 13, 107–108 (2016). https://doi.org/10.1038/nmeth.3741

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