Bayesian perspectives for epidemiological research. II. Regression analysis.

  title={Bayesian perspectives for epidemiological research. II. Regression analysis.},
  author={Sander Greenland},
  journal={International journal of epidemiology},
  volume={36 1},
This article describes extensions of the basic Bayesian methods using data priors to regression modelling, including hierarchical (multilevel) models. These methods provide an alternative to the parsimony-oriented approach of frequentist regression analysis. In particular, they replace arbitrary variable-selection criteria by prior distributions, and by doing so facilitate realistic use of imprecise but important prior information. They also allow Bayesian analyses to be conducted using… CONTINUE READING
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