A Bayesian Semiparametric Approach to Intermediate Variables in Causal Inference - Schwartz, Scott L.; Li, Fan; Mealli, Fabrizia (Journal of the American Statistical Association, 2011)
Keywords: Applications; Applications and Case Studies; Bayesian analysis; Bayesian method; Body mass index; Cardiovascular disease; Cardiovascular diseases; Causal inference; Clinical outcomes; Clinical research; Clinical trials; Clustering; Cohort analysis; Comparative analysis; Distribution; Estimation methods; Exact sciences and technology; Framing; General topics; Inference; Intermediate variables; Manifolds and cell complexes; Mathematics; Medical sciences; Medical statistics; Medical treatment; Medication adherence; Modeling; Multivariate analysis; Nonparametric models; Parametric models; Patient compliance; Physical activity; Placebos; Probability and statistics; Sampling; Sciences and techniques of general use; Statistics; Stratification; Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds; Treatment needs; Variables; Sweden; Biometrics; Compliance; Cluster analysis (statistics); Mixture model; Principal stratification; Non parametric estimation; Cardiovascular disease; Parametric model; Multivariate analysis; Information loss; Parametric method; Medical science; Cohort study; Clinical trial; Posterior distribution; Bayes estimation; Mixed distribution; Bayesian nonparametrics; Discriminant analysis; Dirichlet process; Statistical estimation; Gibbs sampling; Joint distribution; Semiparametric method; Statistical method; Randomized design