We employ a regression model with errors that follow a continuous autoregressive process to analyse longitudinal studies. In this way, unequally spaced observations do not present a problem in the analysis. We employ a Bayesian approach, where our inferences are based on a direct resampling process
A new class of multivariate skew distributions with applications to Bayesian regression models
✍ Scribed by Sujit K. Sahu; Dipak K. Dey; Márcia D. Branco
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- French
- Weight
- 53 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0319-5724
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
their results. As we have discussed with the authors, we believe that there remains much useful work to be done to evaluate the estimator and to determine how and where it should be use (Schoenfeld, personal communication). We also think that, in the absence of censoring, situations where the new te
## Abstract Various statistical methods have been proposed to evaluate associations between measured genetic variants and disease, including some using family designs. For breast cancer and rare variants, we applied a modified segregation analysis method that uses the population cancer incidence an
## Abstract Glutamate metabolism in astrocytes was studied using an experimental setup that simulates the role of neurons (glutamate producers and glutamine consumers) by the addition of glutaminase to the culture medium. Thereby, a steady supply of glutamate was imposed at the expense of glutamine