title: Intrinsic meta-analysis of contingency tables.
abstract: Meta-analysis has a natural formulation as a Bayesian hierarchical model. The main theoretical difficulty is the construction of a sensible relationship between the parameters of the individual statistical experiments and the meta-parameter. Since that prior information on such a relationship is typically not available, we argue that this relationship should be dictated by the structure of the model at hand. We then propose a novel procedure based on intrinsic priors which we fully develop for the case of meta-analysis of 2 x 2 contingency tables. Illustrations on real and artificial tables are given.
authors.affiliation: Department of Statistics, University of Florida, Gainesville, FL 32611, USA. casella@stat.ufl.edu
authors.forename: George
authors.initials: G
authors.lastname: Casella
authors.forename: Elías
authors.initials: E
authors.lastname: Moreno
mesh_terms: D000319:Adrenergic beta-Antagonists / Q000627:therapeutic use; D003657:Decision Making; D006291:Health Policy; D006801:Humans; D008175:Lung Neoplasms / Q000209:etiology; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D009010:Monte Carlo Method; D009203:Myocardial Infarction / Q000188:drug therapy; D012907:Smoking / Q000009:adverse effects; D013276:Stomach Ulcer / Q000601:surgery
chemical_list: D000319:Adrenergic beta-Antagonists