All Stories

  1. Longitudinal data analysis in the presence of informative sampling: weighted distribution or joint modelling
  2. Augmented mixed beta regression models with skew-normal independent distributions: Bayesian analysis of labor force data
  3. Bayesian quantile regression for joint modeling of longitudinal mixed ordinal and continuous data
  4. Reversible jump MCMC to identify dropout mechanism in longitudinal data
  5. Bayesian sample size determination for longitudinal studies with continuous response based on different scientific questions of interest
  6. A Bayesian conditional model for bivariate mixed ordinal and skew continuous longitudinal responses using quantile regression
  7. Transitional Ordinal Modeling
  8. Bayesian testing of agreement criteria under order constraints
  9. Robust Modeling of Differential Gene Expression Data Using Normal/Independent Distributions: A Bayesian Approach
  10. Joint modeling of mixed skewed continuous and ordinal longitudinal responses: a Bayesian approach
  11. Estimating Cost of Road Traffic Injuries in Iran Using Willingness to Pay (WTP) Method
  12. A Copula Approach to Joint Modeling of Longitudinal Measurements and Survival Times Using Monte Carlo Expectation-Maximization with Application to AIDS Studies
  13. Bayesian Joint Modeling of Longitudinal Measurements and Time-to-Event Data Using Robust Distributions
  14. A Bayesian Shared Parameter Model for Analysing Longitudinal Skewed Responses with Nonignorable Dropout
  15. Joint modeling of multivariate longitudinal mixed measurements and time to event data using a Bayesian approach
  16. Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: A Bayesian approach
  17. A linear mixed model for analyzing longitudinal skew-normal responses with random dropout
  18. An ECM Estimation Approach for Analyzing Multivariate Skew-Normal Data with Dropout
  19. An EM Estimation Approach for Analyzing Bivariate Skew Normal Data with Non monotone Missing Values