Joint Models for the Association of Longitudinal Binary and Continuous Processes With Application to a Smoking Cessation Trial
纵向二元与连续过程关联的联合模型及戒烟试验应用
Joint models for the association of a longitudinal binary and a longitudinal continuous process are proposed for situations in which their association is of direct interest. The models are parameterized such that the dependence between the two processes is characterized by unconstrained regression coefficients. Bayesian variable selection techniques are used to parsimoniously model these coefficients. A Markov chain Monte Carlo (MCMC) sampling algorithm is developed for…