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Repeated measures in clinical trials: simple strategies for analysis using summary measures
Author(s) -
Senn Stephen,
Stevens Lynda,
Chaturvedi Nish
Publication year - 2000
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/(sici)1097-0258(20000330)19:6<861::aid-sim407>3.0.co;2-f
Subject(s) - statistic , measure (data warehouse) , baseline (sea) , repeated measures design , computer science , econometrics , statistics , simple (philosophy) , regression analysis , regression , mathematics , data mining , epistemology , geology , philosophy , oceanography
The summary measures approach to analysing repeated measures is described. The circumstances under which it can be advantageous to use such measures are considered. Strategies for baseline adjustment where there are multiple baselines are examined, as is the choice of appropriate summary statistic. A compromise trend/mean measure, regression through the origin, is proposed as being useful under some circumstances. An analysis using this measure is illustrated with a suitable example. Copyright © 2000 John Wiley & Sons, Ltd.