Please use this identifier to cite or link to this item: https://doi.org/10.1002/1097-0258(20000815)19:153.0.CO;2-L
Title: Analysis of time trends in adaptive designs with application to a neurophysiology experiment
Authors: Hu, F. 
Rosenberger, W.F.
Issue Date: 15-Aug-2000
Citation: Hu, F.,Rosenberger, W.F. (2000-08-15). Analysis of time trends in adaptive designs with application to a neurophysiology experiment. Statistics in Medicine 19 (15) : 2067-2075. ScholarBank@NUS Repository. https://doi.org/10.1002/1097-0258(20000815)19:153.0.CO;2-L
Abstract: Time trends are present in many sequential experiments. Adaptive designs use accruing data to select future design points. It has been observed that the presence of time trends in adaptive designs can bias results of the study. We propose one method of dealing with time trends in analysing adaptive designs. The method, relevance weighted likelihood, weights individual components of the likelihood differently. Consequently, one can downweight earlier data if there is a clear time trend that converges at some point in the study. We apply this methodology to a data set from an adaptive design in neurophysiology. We find that the method is robust and useful in getting more precise estimates of an individual subject's median response. Copyright (C) 2000 John Wiley and Sons, Ltd.
Source Title: Statistics in Medicine
URI: http://scholarbank.nus.edu.sg/handle/10635/105004
ISSN: 02776715
DOI: 10.1002/1097-0258(20000815)19:153.0.CO;2-L
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