Bayesian P vs Indie Scholars

Calculate probability of outcomes of clinical trials, by interpreting reported p-values in the context of scientific expectations, using prior probabilities of outcomes and Bayesian thinking. · p-values are frequently misused and misinterpreted ( see American Statistical Association statement on p-values) · Bayesian inference aids interpretation of p-values with reference to prior knowledge of the probability of the experimental outcome · P-value Interpreter permits realistic interpretation of reported p-values from user entered pre-trial probabilities of clinical trial outcomes and p-values for single and sequential trials · "Learn more" buttons lead to explanations of prior probabilities, p-values and Bayesian probabilities employed in calculating the direct probability of the trial outcomes (e.g. null hypothesis being false), illustrated with examples

Indie Scholars is the private community for independent scholars. This is a members-only app. If you're not yet a member, visit indiescholars.com to join for free. Indie Scholars is for you if: - You're reading, learning, and writing outside of traditional institutions - You're working alone on difficult, long-term creative projects - You want to find thoughtful correspondents, interlocutors, and potential collaborators - You prefer slower and kinder than what you find on social media A clean, focused, native experience for reading and conversation - without the distractions of the open web.