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A comparison of group sequential methods for binary longitudinal data
Author(s) -
Spiessens Bart,
Lesaffre Emmanuel,
Verbeke Geert
Publication year - 2003
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.1361
Subject(s) - interim , binary data , binary number , logistic regression , statistics , random effects model , population , interim analysis , generalized estimating equation , longitudinal data , computer science , mathematics , randomized controlled trial , econometrics , medicine , data mining , meta analysis , arithmetic , archaeology , environmental health , history
Abstract Interim analyses are conducted to allow for early termination of the trial, for ethical as well as economical reasons. Here we consider interim analyses in repeated measurements studies where the measurements are binary. Two methods for analysing this kind of data are compared according to their operating characteristics. A subject‐specific approach based on the logistic random‐effects model is compared with the population‐averaged approach based on the generalized estimating equations. The comparison is illustrated with simulations using a randomized clinical trial for toenail fungal infection. Copyright © 2003 John Wiley & Sons, Ltd.