Ontology highlight
ABSTRACT:
SUBMITTER: Keil AP
PROVIDER: S-EPMC5790647 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Statistical methods in medical research 20170302 10
Epidemiologists often wish to estimate quantities that are easy to communicate and correspond to the results of realistic public health interventions. Methods from causal inference can answer these questions. We adopt the language of potential outcomes under Rubin's original Bayesian framework and show that the parametric g-formula is easily amenable to a Bayesian approach. We show that the frequentist properties of the Bayesian g-formula suggest it improves the accuracy of estimates of causal e ...[more]