Parametric variance function estimation for nonnormal repeated measurement data.
Zeger and Liang (1986, Biometrics 42, 121-130) proposed a procedure for analyzing nonnormal longitudinal data in the context of the generalized linear model. This procedure is extended to model variance heterogeneity, allowing the observations to come from distributions with different scale parameters. Loss of efficiency is evaluated when heterogeneity of scale factor is ignored.
Paik
M C
MC
Division of Biostatistics, Columbia University, School of Public Health, New York, New York 10032.
D000704:Analysis of Variance; D001699:Biometry / Q000379:methods*; D002635:Chenodeoxycholic Acid / Q000009:adverse effects; D002784:Cholesterol / Q000097:blood; D005260:Female; D006801:Humans; D016014:Linear Models; D015233:Models, Statistical; D011388:Prolactin / Q000097:blood; D013973:Thyrotropin-Releasing Hormone / Q000008:administration & dosage
D002635:Chenodeoxycholic Acid; D013973:Thyrotropin-Releasing Hormone; D011388:Prolactin; D002784:Cholesterol