Missing data in randomized clinical trials for weight loss: scope of the problem, state of the field, and performance of statistical methods.

Dropouts and missing data are nearly-ubiquitous in obesity randomized controlled trails, threatening validity and generalizability of conclusions. Herein, we meta-analytically evaluate the extent of missing data, the frequency with which various analytic methods are employed to accommodate dropouts,...

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Bibliographic Details
Main Authors: Mai A Elobeid, Miguel A Padilla, Theresa McVie, Olivia Thomas, David W Brock, Bret Musser, Kaifeng Lu, Christopher S Coffey, Renee A Desmond, Marie-Pierre St-Onge, Kishore M Gadde, Steven B Heymsfield, David B Allison
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-08-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2720539?pdf=render