Statistics in Brief: Interpretation and Use of p Values: All p Values Are Not Equal

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  1. 1.

    Dorey F. The p value: what is it and what does it tell you? Clin Orthop Relat Res. 2010;468:2297–2298.

  2. 2.

    Dorey FJ. In brief: statistics in brief: confidence intervals: what is the real result in the target population? Clin Orthop Relat Res. 2010;468:3137–3138.

  3. 3.

    Dorey FJ. Statistics in brief: statistical power: what is it and when should it be used? Clin Orthop Relat Res. 2011;469:619–620.

  4. 4.

    Greenhalgh T. How to Read a Paper: The Basics of Evidence-Based Medicine. Chichester, UK: BMJ Books; 2007.

  5. 5.

    Jolles BM, Martin E. In brief: statistics in brief: study designs in orthopaedic clinical research. Clin Orthop Relat Res. 2011;469:909–913.

  6. 6.

    Lambert J. Statistics in brief: how to assess bias in clinical studies? Clin Orthop Relat Res. 2011;469:1794–1796.

  7. 7.

    Motulsky H. Intuitive Biostatistics. New York, NY: Oxford University Press; 1995.

  8. 8.

    Oxford Center for Evidence-Based Medicine. Available at: Accessed August 9, 2011.

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Correspondence to Frederick Dorey PhD.

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The author certifies that he has no commercial associations that might pose a conflict of interest.

All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research editors and board members are on file with the publication and can be viewed on request.

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Dorey, F. Statistics in Brief: Interpretation and Use of p Values: All p Values Are Not Equal. Clin Orthop Relat Res 469, 3259 (2011).

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  • Null Hypothesis
  • Prior Belief
  • Bayesian Statistic
  • Scientific Validity
  • Multivariate Statistical Model