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P-Values: Biostatistics

    What is a P-value?
    • The level at which statistical significance occurs from a finding.
    • It reflects the strength of the results found in a study and determines the likelihood that the results were due to chance.
    Interpretation
    • A p-value of < 0.05 simply means that the probability the results were due to chance or random error is < 1 in 20 or < 5%.
    • The smaller the p-value, the lower the likelihood the results found in a study were due to chance or random error - or - said another way, "the smaller the p-value the more likely the results found from a study are real"
      • This is why researchers hope or desire to have small p-values
    • It is important to know that the p-value does NOT tell you anything about the:
      • Clinical significance of the findings
      • Size of the effect found
    Application
    • If a study was completed and found that the two interventions being evaluated were statistically different and reported a p-value of 0.01, then we can say that there is a 1% chance that those results found in this study are either due to chance or random error.
    • It is important to remember these two things:
      • The lower the p-value the lower the likelihood of the results occurring from chance.
      • The p-value does not tell you anything about the clinical significance of those results - that is for clinicians to decide for themselves. 
    Editors & Reviewers

    Editors: 

    • Anthony J. Busti, MD, PharmD, FNLA, FAHA
    • Karolina DeAugustinis, MD
    • Dylan Kellogg, MD

    Last Reviewed: July 2015