RT Journal Article
T1 A more general methodology for fitting global cross-ratio models for discrete longitudinal responses
A1 Pardo Llorente, María del Carmen
A1 Alonso Sanz, Rosa
AB In this paper, we focus on repeated measurement problems, comprising an interesting research area in statistics. We study longitudinal data which arise when outcomes are observed repeatedly on each experimental subject at several points. We focus on a marginal approach for this type of data with lack of independence among the observations proposed by Dale [Global cross-ratio models for bivariate, discrete, ordered responses. Biometrics. 1986;42(4):909-917] for bivariate, discrete, ordered responses. We propose an alternative estimation based on divergence measures to the full likelihood method proposed in that paper. Finally, a wide simulation study and a data example that illustrates the new methodology is provided.
PB Taylor & Francis LTD
SN 0233-1888
YR 2014
FD 2014
LK https://hdl.handle.net/20.500.14352/33758
UL https://hdl.handle.net/20.500.14352/33758
LA eng
DS Docta Complutense
RD 19 may 2026