Limitations
PROPPR, trauma
While we believe that bayesian methods offer a more intuitive and informative analysis compared with frequentist statistical methods, we recognize that this current study is not without its limitations. This analysis was intended to provide a simple framework and example of bayesian statistics for the trauma community using a widely known clinical trial. It is not intended to provide a highly technical analysis of the trial, nor is it intended to negate the original findings of the PROPPR Trial. Because of the goals and target audience for this analysis, we chose to perform our analysis without incorporating informative prior information in efforts to mitigate complexity for the novice reader. Due to this, we chose to use a uniformed, noninformative prior in efforts to provide the simplest notion to understand. While uniform, noninformative priors offer the potential for an easily understood concept, they may not represent the most optimized statistical approach for comparing hypotheses with binary outcomes, as it is unlikely that extreme outcomes (ie, an infinitely high or low odds ratio between cohorts) are equally as probable as more realistic outcomes. Strategies that incorporate informative information ranging from skeptical to enthusiastic priors have been elegantly performed previously; however, this was not done within our current study as our intent with this analysis was to focus on theory and education as opposed to providing contrasting data to the PROPPR Trial.