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Statistics – Was the Finding Significant?

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It's Great! Oops, No It Isn't
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Abstract To appreciate how medical research works it is necessary to understand the vital role played by statistical analysis. How one can determine if a person is truly a psychic is used to introduce the concept of statistical significance — the criterion that determines whether an experimenter can claim he or she has found a treatment difference. The explanation relies on simple coin tosses and the creation of a testing standard to determine if a person claiming psychic powers should be believed. The role of the confidence interval, which is essentially the “margin of error” that is faithfully included in political poll results, is incorporated into the explanation as well. The need to establish a null hypotheses and appreciation for the types of errors that come from statistical analyses are also covered. In addition, the chapter presents issues that must be addressed to judge whether any treatment differences found are truly meaningful. Included are (1) the assumptions researcher must make to determine the number of subjects they need for a trial and (2) the role of clinical relevance.

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Chapter 13 — Statistics

Cited References

  • Alderson P, Chalmers I. Research pointers: survey of claims of effect in abstracts of Cochrane reviews.Br Med J 2003:326;475.

    Article  Google Scholar 

  • Marks H.The progress of experiment: science and therapeutic reform in the United States. Cambridge: Cambridge University Press, 1997.

    Google Scholar 

  • Moher D, Dulberg C, Wells G. Statistical power, sample size, and their reporting in randomized controlled trials.JAMA 1994:272;122–124.

    Article  PubMed  CAS  Google Scholar 

  • Rothstein J. Much ado about probability.Phys Ther 1990:70;535–536.

    Google Scholar 

General References

  • Altman D.Practical statistics for medical research. London: Chapman&Hall, 1990.

    Google Scholar 

  • Altman D, Bland J. Absence of evidence is not evidence of absence.Br Med J 1995:311;485.

    CAS  Google Scholar 

  • Beyea S, Nicoll L. An overview of statistical and clinical significance in nursing research.AORN J 1997:65;1129–1130.

    Google Scholar 

  • Fisher R.Statistical methods for research workers. New York: Macmillan, 1970.

    Google Scholar 

  • Gauch R.Statistical methods for researchers made very simple. Lanham, MD: University Press of America, 2000.

    Google Scholar 

  • Willenheimer R. Statistical significance versus clinical relevance in cardiovascular medicine.Prog Cardiovasc Dis 2001:44;155–167.

    Article  PubMed  CAS  Google Scholar 

Download references

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(2009). Statistics – Was the Finding Significant?. In: It's Great! Oops, No It Isn't. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8907-7_13

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