title: Ecological-type inference in matched-pair studies with fixed marginal totals.
abstract: This paper applies a Bayesian approach to ecological-type inference in matched-pair studies because traditional methods that assume parallel tables are not directly applicable. The proposed procedure is based on a hierarchical Bayes structure which models information about the within-pair association. The proposed algorithm relies on Markov chain Monte Carlo simulation, recovers the full table, and reports its accuracy in terms of credible sets for the cell counts. This methodology is motivated and illustrated with examples from split-mouth designs assessing the effectiveness of dental sealant materials and cross-over trials comparing two forms of insulin.
authors.affiliation: Centers for Disease Control and Prevention, Atlanta, GA, USA. LBarker@cdc.gov
authors.forename: Laurie K
authors.initials: LK
authors.lastname: Barker
authors.forename: Susan O
authors.initials: SO
authors.lastname: Griffin
authors.forename: Seonghye
authors.initials: S
authors.lastname: Jeon
authors.forename: Shellie Kolavic
authors.initials: SK
authors.lastname: Gray
authors.forename: Brani
authors.initials: B
authors.lastname: Vidakovic
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D003198:Computer Simulation; D018592:Cross-Over Studies; D003731:Dental Caries / Q000517:prevention & control; D006801:Humans; D007003:Hypoglycemia / Q000188:drug therapy; D007004:Hypoglycemic Agents / Q000627:therapeutic use; D007328:Insulin / Q000031:analogs & derivatives / Q000627:therapeutic use; D061268:Insulin Lispro; D008390:Markov Chains; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D009010:Monte Carlo Method; D010895:Pit and Fissure Sealants / Q000627:therapeutic use; D011336:Probability; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D016008:Statistical Distributions
chemical_list: D007004:Hypoglycemic Agents; D007328:Insulin; D061268:Insulin Lispro; D010895:Pit and Fissure Sealants