Statistical testing alone and estimation plus testing: Reporting study outcomes in biomedical journals
AbstractBackground: The outcomes of a research investigation are presented as statistically significant or not statistically significant, or testing alone, including the reporting of p-values. This information conveys the statistical outcomes, or statistical findings, in response to the hypotheses of interest. A companion issue is the results of the estimation plus testing, clinical or practical significance, or the findings for the hypotheses of interest. Estimation plus testing, clinical or practical significance, findings provide information as to the strength of the finding, the differences that were detected between treatment groups, or other such conclusions. Objectives: Effect sizes are recommended as a measure of estimation plus testing, clinical significance, since they are generalizable and invariant. A case is made for the reporting of estimation plus testing for outcomes in biomedical journals. Design: A review of recent publications reporting effect sizes as well as a review of publication polices for biomedical journals are discussed. Results: Of the 113 articles in 38 medical journals that mentioned effect size, 35% were meta-analyses or systematic reviews. Of the original research reported, 12% reporting effect size were randomized control trials, 54% were descriptive or observational studies. Six of the 16 Public Health/Epidemiology journals contained effect size statistics in 24 articles. Studies reporting meta-analyses accounted for 17% of the total number of Public Health/Epidemiology articles reviewed. Of the 38 medical journals and 16 Public Health/Epidemiology journals reviewed, the "Instructions for Authors" were typically stylistic in nature. Conclusions: When a criterion for testing alone, namely statistical significance, is met and a criterion for estimation plus testing, namely clinical significance is met, then a conclusion of effectiveness may be reached. For a complete interpretation of research results, the authors strongly encourage the reporting of estimation plus testing.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Statistics & Probability Letters.
Volume (Year): 78 (2008)
Issue (Month): 15 (October)
Contact details of provider:
Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.