Statistical pearls: Importance of effect-size, blinding, randomization, publication bias, and the overestimated p-values

Statistical pearls: Importance of effect-size, blinding, randomization, publication bias, and the... In this issue of the Scandinavian Journal of Pain, our associate editor for medical statistics, Professor Eva Skovlund focuses on some of the important, and frequently misunderstood, basic issues of statistical analyses of medical research data [1].1The over-rated p-value is often misunderstoodp-values are always there in scientific publications from medical researchers. They impress reviewers, editors, and readers alike, more than they deserve. A low p-value is taken as a “proof” of the truth of the research-question, but the p-value only indicates the likelihood of finding the observed difference between treatments by random/by chance, even if there is no difference. Still, the observed difference can be of limited clinical relevance, in spite of a low p-value [1].2Effect-size and clinical significanceAs Eva Skovlund writes in her review [1]: “a p-value does neither assess the size of an effect as such nor whether a statistically significant result is of any clinical relevance”.For clinically meaningful information from the statistical analyses, the size of the effect and its 95% confidence interval are needed.The effect-size is the difference between the observed value(s) and the expected value(s). If the null-hypothesis is true, i.e. that there is no difference between the therapies, the effect-size will be zero. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Scandinavian Journal of Pain de Gruyter

Statistical pearls: Importance of effect-size, blinding, randomization, publication bias, and the overestimated p-values

Loading next page...
 
/lp/degruyter/statistical-pearls-importance-of-effect-size-blinding-randomization-YarnvcBmci
Publisher
De Gruyter
Copyright
© 2013 Scandinavian Association for the Study of Pain
ISSN
1877-8860
eISSN
1877-8879
D.O.I.
10.1016/j.sjpain.2013.08.001
Publisher site
See Article on Publisher Site

Abstract

In this issue of the Scandinavian Journal of Pain, our associate editor for medical statistics, Professor Eva Skovlund focuses on some of the important, and frequently misunderstood, basic issues of statistical analyses of medical research data [1].1The over-rated p-value is often misunderstoodp-values are always there in scientific publications from medical researchers. They impress reviewers, editors, and readers alike, more than they deserve. A low p-value is taken as a “proof” of the truth of the research-question, but the p-value only indicates the likelihood of finding the observed difference between treatments by random/by chance, even if there is no difference. Still, the observed difference can be of limited clinical relevance, in spite of a low p-value [1].2Effect-size and clinical significanceAs Eva Skovlund writes in her review [1]: “a p-value does neither assess the size of an effect as such nor whether a statistically significant result is of any clinical relevance”.For clinically meaningful information from the statistical analyses, the size of the effect and its 95% confidence interval are needed.The effect-size is the difference between the observed value(s) and the expected value(s). If the null-hypothesis is true, i.e. that there is no difference between the therapies, the effect-size will be zero.

Journal

Scandinavian Journal of Painde Gruyter

Published: Dec 29, 2017

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches

$49/month

Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.

$588

$360/year

billed annually
Start Free Trial

14-day Free Trial