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Accounting for center in the Early External Cephalic Version trials: an empirical comparison of statistical methods to adjust for center in a multicenter trial with binary outcomes

Overview of attention for article published in Trials, September 2014
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Title
Accounting for center in the Early External Cephalic Version trials: an empirical comparison of statistical methods to adjust for center in a multicenter trial with binary outcomes
Published in
Trials, September 2014
DOI 10.1186/1745-6215-15-377
Pubmed ID
Authors

Angela Reitsma, Rong Chu, Julia Thorpe, Sarah McDonald, Lehana Thabane, Eileen Hutton

Abstract

Clustering of outcomes at centers involved in multicenter trials is a type of center effect. The Consolidated Standards of Reporting Trials Statement recommends that multicenter randomized controlled trials (RCTs) should account for center effects in their analysis, however most do not. The Early External Cephalic Version (EECV) trials published in 2003 and 2011 stratified by center at randomization, but did not account for center in the analyses, and due to the nature of the intervention and number of centers, may have been prone to center effects. Using data from the EECV trials, we undertook an empirical study to compare various statistical approaches to account for center effect while estimating the impact of external cephalic version timing (early or delayed) on the outcomes of cesarean section, preterm birth, and non-cephalic presentation at the time of birth.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 15%
Student > Postgraduate 5 15%
Researcher 4 12%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Other 6 18%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 15 44%
Nursing and Health Professions 5 15%
Mathematics 2 6%
Philosophy 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 7 21%