title: Seven items were identified for inclusion when reporting a Bayesian analysis of a clinical study.
abstract: OBJECTIVE
  (1) To generate a list of items that experts consider most important when reporting a Bayesian analysis of a clinical study, (2) to report on the extent to which we found these items in the literature, and (3) to identify factors related to the number of items in a report.
  
  
  METHODS
  Based on opinions from 23 international experts, we determined the items considered most important when publishing a Bayesian analysis. We then performed a literature search to identify articles in which a Bayesian analysis was performed and determined the extent to which we found these items in each report. Finally, we examined the relationship between the number of items in a report and journal- and article-specific attributes.
  
  
  RESULTS
  Our final set of seven items described the prior distribution (specification, justification, and sensitivity analysis), analysis (statistical model and analytic technique), and presentation of results (central tendency and variance). There was >99% probability that more items were reported in studies with a noncontrolled study design and in journals with a methodological focus, lower impact factor, and absence of a word count limit.
  
  
  CONCLUSIONS
  We developed a set of seven items that experts believe to be most important when reporting a Bayesian analysis.
authors.affiliation: Division of Hematology/Oncology, Department of Pediatrics, Hospital for Sick Children, Toronto, Ontario, Canada. lillian.sung@sickkids.ca
authors.forename: Lillian
authors.initials: L
authors.lastname: Sung
authors.forename: Jill
authors.initials: J
authors.lastname: Hayden
authors.forename: Mark L
authors.initials: ML
authors.lastname: Greenberg
authors.forename: Gideon
authors.initials: G
authors.lastname: Koren
authors.forename: Brian M
authors.initials: BM
authors.lastname: Feldman
authors.forename: George A
authors.initials: GA
authors.lastname: Tomlinson
mesh_terms: D001499:Bayes Theorem; D035843:Biomedical Research / Q000379:methods; D003627:Data Interpretation, Statistical; D017408:Guidelines as Topic; D006801:Humans; D015233:Models, Statistical; D012680:Sensitivity and Specificity