Bayesian P-Value Interpreter

Transform p-values into meaningful probabilities using Bayesian statistics. Built-in guided tour, interactive gauge, and sequential analysis for multi-study evidence.

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