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Repeated measures models for prescribing change
Author(s) -
Sithole Jabulani S.,
Jones Peter W.
Publication year - 2002
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.997
Subject(s) - repeated measures design , primary care , intervention (counseling) , clinical practice , baseline (sea) , medicine , statistics , econometrics , psychology , mathematics , family medicine , nursing , oceanography , geology
Linear mixed models are used to detect a change, if any, in prescribing habits at the primary care practice level due to an educational intervention given repeated measures data before and after intervention and a control group.Inferences are corrected for general practice size, fundholding status and baseline prescribing. The correlation structure is discussed and the results for multilevel modelling using MLwiN and NLME version 3.0 are compared. Copyright © 2002 John Wiley & Sons, Ltd.