Search results for "Joint models"
showing 3 items of 3 documents
Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data
2017
El análisis estadístico de la información generada por el seguimiento médico de una enfermedad es un reto muy importante en el ámbito de la medicina personalizada. A medida que avanza el curso evolutivo de la enfermedad en un paciente, su seguimiento genera cada vez más información que debe ser procesada inmediatamente para revisar y actualizar su pronóstico y tratamiento. Nuestro objetivo en esta tesis se centra en dicho proceso de actualización a través de métodos de inferencia secuencial en modelos conjuntos de datos longitudinales y de supervivencia desde una perspectiva Bayesiana. En concreto, proponemos la utilización de métodos secuenciales de Monte Carlo adaptados a modelos conjunto…
Extending Joint Models in Community Ecology : A Response to Beissinger et al.
2016
The joint modelling of many variables in community ecology is a new and technically challenging area with many opportunities for future developments. The possibility of extending joint models to deal with imperfect detection has been highlighted by Beissinger et al. as an important problem worthy of further investigation [1]. We agree, and previously pointed to this potential extension as an outstanding question [2], alongside models that can estimate phylogenetic repulsion or attraction, nonlinearity in the response to latent variables, and spatial or temporal correlation, because further developments in all these directions are needed.
Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data
2015
The paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate-specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an age-varying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of disease-free probabilities obtained using Bayesian infe…