↓ Skip to main content

In search of justification for the unpredictability paradox

Overview of attention for article published in Trials, December 2014
Altmetric Badge

Mentioned by

twitter
14 X users
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
20 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
In search of justification for the unpredictability paradox
Published in
Trials, December 2014
DOI 10.1186/1745-6215-15-480
Pubmed ID
Authors

Jeremy Howick, Alexander Mebius

Abstract

A 2011 Cochrane Review found that adequately randomized trials sometimes revealed larger, sometimes smaller, and often similar effect sizes to inadequately randomized trials. However, they found no average statistically significant difference in effect sizes between the two study types. Yet instead of concluding that adequate randomization had no effect the review authors postulated the "unpredictability paradox", which states that randomized and non-randomized studies differ, but in an unpredictable direction. However, stipulating the unpredictability paradox is problematic for several reasons: 1) it makes the authors' conclusion that adequate randomization makes a difference unfalsifiable-if it turned out that adequately randomized trials had significantly different average results from inadequately randomized trials the authors could have pooled the results and concluded that adequate randomization protected against bias; 2) it leaves other authors of reviews with similar results confused about whether or not to pool results (and hence which conclusions to draw); 3) it discourages researchers from investigating the conditions under which adequate randomization over- or under-exaggerates apparent treatment benefits; and 4) it could obscure the relative importance of allocation concealment and blinding which may be more important than adequate randomization.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
United States 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Other 3 15%
Student > Bachelor 3 15%
Student > Doctoral Student 1 5%
Professor 1 5%
Other 3 15%
Unknown 3 15%
Readers by discipline Count As %
Medicine and Dentistry 8 40%
Nursing and Health Professions 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Philosophy 1 5%
Computer Science 1 5%
Other 3 15%
Unknown 4 20%