Seven items were identified for inclusion when reporting a Bayesian analysis of a clinical study

Lillian Sung, Jill Hayden, Mark L. Greenberg, Gideon Koren, Brian M. Feldman, George A. Tomlinson

Research output: Contribution to journalArticlepeer-review

116 Scopus citations

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. Study Design and Setting: 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. Conclusion: We developed a set of seven items that experts believe to be most important when reporting a Bayesian analysis.

Original languageEnglish
Pages (from-to)261-268
Number of pages8
JournalJournal of Clinical Epidemiology
Volume58
Issue number3
DOIs
StatePublished - Mar 2005
Externally publishedYes

Keywords

  • Bayesian analysis
  • Biostatistics
  • Clinical studies
  • Impact factor

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