Bayesian Modeling and Real‐world Problems

Abstract

Academic Emergency MedicineVolume 10, Issue 7 p. 780-782 Free Access Bayesian Modeling and Real-world Problems Roger J. Lewis MD, PhD, Roger J. Lewis MD, PhD (roger@emedharbor.edu), Department of Emergency Medicine, Harbor–UCLA Medical Center, Torrance, CASearch for more papers by this author Roger J. Lewis MD, PhD, Roger J. Lewis MD, PhD (roger@emedharbor.edu), Department of Emergency Medicine, Harbor–UCLA Medical Center, Torrance, CASearch for more papers by this author First published: 28 June 2008 https://doi.org/10.1197/aemj.10.7.780Citations: 2AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. References 1 Williams K. G., Schootman M., Quayle K. S., Struthers J., Jaffe D. M.. Geographic variation of pediatric burn injuries in a metropolitan area. Acad Emerg Med. 2003; 10: 743– 52. 2 Bernardinelli L., Clayton D., Montomoli C.. Bayesian estimates of disease maps: how important are priors? Stat Med. 1995; 14: 2411– 31. 3 Berry D. A.. A case for Bayesianism in clinical trials. Stat Med. 1993; 12: 1377– 93; discussion 1395–404. 4 Berry D. A.. Interim analyses in clinical trials: classical vs. Bayesian approaches. Stat Med. 1985; 4: 521– 6. 5 D. A. Berry, D. K. Stangl, (eds). Bayesian Biostatistics. New York : Marcel Dekker, Inc., 1996. 6 Freedman L. S., Spiegelhalter D. J.. Comparison of Bayesian with group sequential methods for monitoring clinical trials. Controlled Clin Trials. 1989; 10: 357– 67. 7 Gelman A., Carlin J. B., Stern H. S., Rubin D. B.. Bayesian Data Analysis, Texts in Statistical Science. London : Chapman & Hall, 1995. 8 Lewis R. J., Wears R. L.. An introduction to the Bayesian analysis of clinical trials. Ann Emerg Med. 1993; 22: 1328– 36. 9 Mollie A.. Bayesian mapping of disease. In: W. R. Gilks, S. Richardson, D. J. Spiegelhalter (eds). Markov Chain Monte Carlo in Practice. Boca Raton ; FL : Chapman & Hall, 1996, pp 359– 79. 10 Press S. J.. Bayesian Statistics: Principles, Models, and Applications. New York : John Wiley & Sons, Inc., 1989. 11 Smith T. C., Spiegelhalter D. J., Thomas A.. Bayesian approaches to random-effects meta-analysis: a comparative study. Stat Med. 1995; 14: 2685– 99. 12 Spiegelhalter D. J.. Bayesian methods for cluster randomized trials with continuous responses. Stat Med. 2001; 20: 435– 52. 13 Young K. D., Lewis R. J.. What is confidence? Part I: the use and interpretation of confidence intervals. Ann Emerg Med. 1997; 30: 307– 10. 14 Young K. D., Lewis R. J.. What is confidence? Part II: detailed definition and determination of confidence intervals. Ann Emerg Med. 1997; 30: 311– 8. Citing Literature Volume10, Issue7July 2003Pages 780-782 ReferencesRelatedInformation