Premium
Modeling Longitudinal Data with Ordinal Response by Varying Coefficients
Author(s) -
Kauermann Göran
Publication year - 2000
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2000.00692.x
Subject(s) - ordinal regression , ordinal data , covariate , ordered logit , ordinal scale , statistics , mathematics , longitudinal data , econometrics , logit , odds , scale (ratio) , logistic regression , computer science , data mining , geography , cartography
Summary. This paper presents a smooth regression model for ordinal data with longitudinal dependence structure. A marginal model with cumulative logit link is applied to cope with the ordinal scale and the main and covariate effects in the model are allowed to vary with time. Local fitting is pursued and asymptotic properties of the estimates are discussed. In a second step, the longitudinal dependence of the observations is considered. Cumulative log odds ratios are fitted locally, which allows investigation of how the longitudinal dependence of the ordinal observations changes with time.