Survival analysis of dropout patterns in dieting clinical trials

Journal of the American Dietetic Association
Patti S Landers, Thomas L Landers

Abstract

Subjects who withdraw from diet clinical trials are a drain on limited resources and reduce statistical power. Dropout pattern data, collected during a clinical trial for which the primary findings compared weight loss from three dieting protocols, are examined using survival analysis and found to be exponentially distributed. The predicted probability of remaining in the study is 83% for 30 days and 60% for 84 days. Survival analysis methods consider subjects who did not return after the initial visit and others who may have continued dieting beyond study termination. When applied to clinical trials, this type of analysis provides valuable information for planning and budgeting of future trials. Inclusion of a 1- to 2-week run-in period at the beginning of the study may improve retention. Otherwise, the diet researcher should consider increasing initial randomized sample size by approximately 10% to 25% as an allowance for early withdrawals.

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Citations

Sep 1, 2006·Digestive Diseases and Sciences·Meli MorYaron Niv
Nov 28, 2006·Journal of the American Dietetic Association·Marci J LevineDavid R Lineback
Nov 1, 2006·The Journal of Social Issues·Michelle J NaughtonSally A Shumaker
Apr 4, 2006·Drug Discovery Today·Ricardo Macarron
Oct 30, 2016·Progress in Lipid Research·Dylan S MackayPeter J H Jones
Sep 22, 2007·The Clinical Journal of Pain·Merrill R LandersTy Druse
Jun 9, 2007·The American Journal of Clinical Nutrition·Julia A Ello-MartinBarbara J Rolls
Jul 31, 2021·International Journal of Obesity : Journal of the International Association for the Study of Obesity·Colby J VorlandDavid B Allison

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