Pardo Llorente, María del CarmenAlonso Sanz, Rosa2023-06-192023-06-1920140233-188810.1080/02331888.2013.801481https://hdl.handle.net/20.500.14352/33758In 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.engjournal articlehttp://www.tandfonline.com/doi/abs/10.1080/02331888.2013.801481#.VM9nsmiG9qUrestricted access519.22Longitudinal dataGlobal cross-ratioOrdinal dataMinimum divergence estimatorEstadística matemática (Matemáticas)1209 Estadística