All Stories

  1. A continuous-time Markov chain approach with the analytic likelihood in studies of behavioral changes
  2. Joint models of dynamics of mothers’ stress and children’s disease
  3. Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates
  4. Bayesian variable selection for multistate Markov models with interval-censored data in an ecological momentary assessment study of smoking cessation
  5. Molecular and clinical spectra of FBXL4 deficiency
  6. A joint logistic regression and covariate-adjusted continuous-time Markov chain model
  7. Continuous time Markov chain approaches for analyzing transtheoretical models of health behavioral change: A case study and comparison of model estimations
  8. A hidden Markov model approach to analyze longitudinal ternary outcomes when some observed states are possibly misclassified
  9. Analysis of transtheoretical model of health behavioral changes in a nutrition intervention study-a continuous time Markov chain model with Bayesian approach
  10. Panel
  11. A Bayesian Approach in Estimating Transition Probabilities of a Discrete-time Markov Chain for Ignorable Intermittent Missing Data