Analyzing weight loss intervention studies with missing data: Which methods should be used?

Abstract Objective Missing data due to study dropout is common in weight loss trials and several statistical methods exist to account for it. The aim of this study was to identify methods in the literature and to compare the effects of methods of analysis using simulated data sets. Methods Literatur...

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Veröffentlicht in:	Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2013-07, Vol.29 (7), p.1024-1029
Hauptverfasser:	Batterham, Marijka J., Ph.D, Tapsell, Linda C., Ph.D, Charlton, Karen E., Ph.D
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Clinical Trials as Topic Computer Simulation Confidence intervals Data Collection - methods Databases, Factual Feeding. Feeding behavior Fundamental and applied biological sciences. Psychology Gastroenterology and Hepatology Humans Missing data Models, Statistical Multiple imputation Multivariate analysis Patient Dropouts - statistics & numerical data Probability Research Design - statistics & numerical data Sample variance School dropout programs School dropouts Simulation analysis Statistical methods Studies Treatment Outcome Vertebrates: anatomy and physiology, studies on body, several organs or systems Weight control Weight Loss
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