Seemingly unrelated multi-state processes: a bayesian semiparametric approach

HIGHLIGHTS

  • who: Andrea Cremaschi and collaborators from the Department of Psychiatry, McGill University, Montreal, Canada have published the article: Seemingly Unrelated Multi-State Processes: A Bayesian Semiparametric Approach, in the Journal: (JOURNAL)
  • what: The main contribution of this work is to propose a joint semiparametric model for several possibly related (Seemingly SUMS assuming a Markov structure for the transitions over time. The authors propose a joint modelling approach for several categorical variables evolving simultaneously through time. The model allows for the inclusion of time-homogeneous covariates (of any type) and time-varying continuous covariates in a . . .

     

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