TY - JOUR
T1 - GEE analysis of negatively correlated binary responses
T2 - A caution
AU - Hanley, James A.
AU - Negassa, Abdissa
AU - Edwardes, Michael D.De B.
PY - 2000/3/15
Y1 - 2000/3/15
N2 - The method of generalized estimating equations has become almost standard for analysing longitudinal and other correlated response data. However, we have found that if binary responses have less than binomial variation over clusters, and are modelled using exchangeable correlations, prevailing software implementations may give unreliable results. Bounding the negative correlation away from its theoretical minimum may not always be a satisfactory solution. In such instances, using the independence working correlation structure and robust SEs is a more trustworthy alternative. Copyright (C) 2000 John Wiley and Sons, Ltd.
AB - The method of generalized estimating equations has become almost standard for analysing longitudinal and other correlated response data. However, we have found that if binary responses have less than binomial variation over clusters, and are modelled using exchangeable correlations, prevailing software implementations may give unreliable results. Bounding the negative correlation away from its theoretical minimum may not always be a satisfactory solution. In such instances, using the independence working correlation structure and robust SEs is a more trustworthy alternative. Copyright (C) 2000 John Wiley and Sons, Ltd.
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U2 - 10.1002/(SICI)1097-0258(20000315)19:5<715::AID-SIM342>3.0.CO;2-T
DO - 10.1002/(SICI)1097-0258(20000315)19:5<715::AID-SIM342>3.0.CO;2-T
M3 - Article
C2 - 10700741
AN - SCOPUS:0034653340
SN - 0277-6715
VL - 19
SP - 715
EP - 722
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 5
ER -