Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Citado por Google
- Similares en SciELO
- Similares en Google
Compartir
Revista Colombiana de Estadística
versión impresa ISSN 0120-1751
Resumen
SALAZAR, JUAN CARLOS et al. Three state Markov model: comparing three parameterizations of the transition intensity rate. Application to rheumatoid arthritis data. Rev.Colomb.Estad. [online]. 2007, vol.30, n.2, pp.213-229. ISSN 0120-1751.
We consider a three state model with an absorbing state assuming an underlying Markov process to explain the dependence among observations within subjects. We compare, using a simulation study, three different parameterizations of the transition intensity rate: the first one is based on the Andersen-Gills multiplicative hazard model (Andersen et al. 1993), the second one is based on the logistic model, and the third one depends on the complementary log-log model. The method to estimate the effect of the parameters is based on the likelihood function which can be optimized using the exact solutions of a Kolmogorov forward differential equations system in conjunction with the Newton-Raphson algorithm (Abramowitz & Stegun 1972). We use the relative bias to select the best estimation estrategy. The methodology is ilustrated using longitudinal data about rheumatoid arthritis (RA) from the Corporación para Investigaciones Biológicas, CIB.
Palabras clave : Stochastic processes; Intensity rates; Longitudinal data; Rheumatoid Arthritis.