Sung L, Hayden J, Greenberg ML, Koren G, Feldman BM, Tomlinson GA: Seven items were identified for inclusion when reporting a Bayesian analysis of a clinical study

Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
Journal of Clinical Epidemiology (Impact Factor: 3.42). 03/2005; 58(3):261-8. DOI: 10.1016/j.jclinepi.2004.08.010
Source: PubMed


(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.
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.
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.
We developed a set of seven items that experts believe to be most important when reporting a Bayesian analysis.

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    • "Heterogeneity between included studies will be assessed using both the chi-square test and the I2 statistic [45,46]. In addition, to make the probability statement for the efficacy of vitamin D and to incorporate the prior beliefs and external information (that is, observational data), we will synthesize the results from the RCTs using a hierarchical Bayesian random-effects model [47-49] in conjunction with observational studies included in a recent systematic review [37]. Specifically, observational studies investigating relationship between vitamin D measurements as a risk factor and depression as the outcome of interest in adults will be eligible for pooled analysis as prior distributions to conduct Bayesian meta-analysis. "
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    Full-text · Article · Aug 2013 · Systematic Reviews
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