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Statistical Analysis of Individual Participant Data Meta-Analyses: A Comparison of Methods and Recommendations for Practice

Overview of attention for article published in PLOS ONE, October 2012
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Title
Statistical Analysis of Individual Participant Data Meta-Analyses: A Comparison of Methods and Recommendations for Practice
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046042
Pubmed ID
Authors

Gavin B. Stewart, Douglas G. Altman, Lisa M. Askie, Lelia Duley, Mark C. Simmonds, Lesley A. Stewart

Abstract

Individual participant data (IPD) meta-analyses that obtain "raw" data from studies rather than summary data typically adopt a "two-stage" approach to analysis whereby IPD within trials generate summary measures, which are combined using standard meta-analytical methods. Recently, a range of "one-stage" approaches which combine all individual participant data in a single meta-analysis have been suggested as providing a more powerful and flexible approach. However, they are more complex to implement and require statistical support. This study uses a dataset to compare "two-stage" and "one-stage" models of varying complexity, to ascertain whether results obtained from the approaches differ in a clinically meaningful way.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 3 2%
Netherlands 2 1%
Italy 2 1%
France 1 <1%
Germany 1 <1%
Finland 1 <1%
Malaysia 1 <1%
Norway 1 <1%
Other 4 2%
Unknown 175 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 23%
Researcher 41 21%
Professor > Associate Professor 12 6%
Student > Master 12 6%
Student > Postgraduate 10 5%
Other 42 22%
Unknown 32 16%
Readers by discipline Count As %
Medicine and Dentistry 58 30%
Psychology 17 9%
Mathematics 17 9%
Agricultural and Biological Sciences 14 7%
Sports and Recreations 6 3%
Other 37 19%
Unknown 45 23%