The analysis of randomised controlled trial data with more than one follow-up measurement. A comparison between different approaches.

European Journal of Epidemiology
Jos Twisk, Wieke de Vente

Abstract

When more than one follow-up measurement is analysed in a randomized controlled trial, there is no consensus how to analyse the overall intervention effect in a proper way. Mostly, longitudinal analysis of covariance is used, because with this method a correction is made for possible regression to the mean. However, in this paper it is shown that this method (mostly) leads to an overestimation of the intervention effect. A possible solution is the use of autoregression, although this does not seem to be the best solution, because it leads to an overcorrection. Due to these flaws, in this paper a new approach is introduced in which a correction for the baseline value is made for the first follow-up, but no correction is made for the remaining follow-up measurements.

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Citations

Jan 14, 2011·Pediatric Research·Elisabeth A M WesterbeekRuurd M Van Elburg
Dec 18, 2013·Physiotherapy Research International : the Journal for Researchers and Clinicians in Physical Therapy·Ingebjørg L KyrdalenJorunn L Helbostad
Mar 13, 2014·Disability and Rehabilitation. Assistive Technology·Michiel P M van NunenArnold de Haan
Dec 18, 2013·Archives of Disease in Childhood·Ane KokkvollInger Njølstad
Nov 22, 2014·Archives of Disease in Childhood·Ane KokkvollInger Njølstad
Oct 31, 2015·Rheumatology·Sofia GeorgopoulouJackie Sturt
Jan 25, 2018·Journal of Health Care Chaplaincy·Kevin J FlannellyKatherine R B Jankowski
Oct 26, 2018·Journal of Psychopharmacology·Jayashri KulkarniCaroline Gurvich
Feb 9, 2021·Arthroscopy : the Journal of Arthroscopic & Related Surgery : Official Publication of the Arthroscopy Association of North America and the International Arthroscopy Association·Derek F P van DeurzenUNKNOWN BITE Study Group
Jun 17, 2020·Pediatrics·Rebecca B PerkinsAmresh Hanchate

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