A comparison of group sequential methods for binary longitudinal data.

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.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Spiessens B,Lesaffre E,Verbeke G

doi

10.1002/sim.1361

subject

Has Abstract

pub_date

2003-02-28 00:00:00

pages

501-15

issue

4

eissn

0277-6715

issn

1097-0258

journal_volume

22

pub_type

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