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20 ISCB 2014 Vienna, Austria • Abstracts - Oral PresentationsMonday, 25th August 2014 • 11:30-12:30 Monday25thAugustTuesday26thAugustThursday28thAugustAuthorIndexPostersWednesday27thAugustSunday24thAugust Monday, 25th August 2014 – 11:30-12:30 President’s invited speaker IP President’s invited speaker Organizer: A. Zwinderman (ISCB President) IP.1 Bayes, why bother? TA Louis1,2 1 Johns Hopkins Blooomberg SPH, Baltimore, United States, 2 U. S. Census Bureau, Washington, United States The use of Bayesian-based designs and analyses in biomedical, envi- ronmental, political and many other applications has burgeoned, even though its use entails additional overhead. Consequently, it is evident that statisticians and collaborators are increasingly finding the approach worth the bother. In the context of this escalating incidence, I highlight a subset of the potential advantages of the formalism in study design (“Everyone is a Bayesian in the design phase”), conduct, analysis and reporting. Approaches include designs and analyses with required frequentist prop- erties (Bayes for frequentist) and for fully Bayesian goals (Bayes for Bayes). Examples are drawn from sample size estimation, design and analysis of cluster randomized studies, use of historical controls, frequentist CI cov- erage, evaluating subgroups, dealing with multiplicity, ranking and other nonstandard goals. The Bayesian approach is by no means a panacea. Valid development and application places additional obligations on the investigative team, and so it isn´t always worth the effort. However, the investment can pay big dividends, the cost/benefit relation is increasingly attractive, and in many situations it is definitely worth the bother.

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