
About
This app helps interpret p-values from clinical trials by incorporating prior probabilities and Bayesian inference. It provides realistic interpretations of reported p-values, aiding in understanding the likelihood of experimental outcomes.
What's New in Bayesian P
2.5
June 19, 2026
Prior Sensitivity Analysis! • Not sure about your prior? A new Sensitivity panel instantly shows the posterior across a range of priors centered on your input, so you can see at a glance how much your starting assumption matters. Deeper sequential workflows! • Select any row from the Sensitivity table and continue directly into a Sequential Analysis starting from that scenario, no manual copying of numbers. • A new Probability Summary chart now displays four bars — your original prior, the first posterior, the discounted prior used for the sequential analysis, and the final posterior — so you can see exactly how the evidence and your discounting choices shape each step. Progressive "Add Analysis" layout! • The calculator now builds up on demand. Run your main calculation, then add a Sensitivity or Sequential panel only when you need it, keeping the screen clean for straightforward cases. New app icon! UI/UX polish and bug fixes! (again) • Tightened spacing and typography across the calculator, settings, and summary chart. • Smoother transitions when adding or removing analysis panels. • Improved overall navigation flow and fixed a highlight bug in the Sensitivity table.
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FAQ
What is the Bayesian P-Value Interpreter used for?
The Bayesian P-Value Interpreter is used to calculate the probability of outcomes in clinical trials by interpreting reported p-values in the context of scientific expectations and prior probabilities, employing Bayesian thinking.
How does the Bayesian P-Value Interpreter help with p-value interpretation?
It aids in the realistic interpretation of reported p-values by referencing prior knowledge of the probability of an experimental outcome. This approach helps to avoid common misinterpretations of p-values.
Does the Bayesian P-Value Interpreter require prior knowledge of Bayesian statistics?
While it employs Bayesian inference, the app includes 'Learn more' buttons that provide explanations of prior probabilities, p-values, and Bayesian probabilities, illustrated with examples to help users understand the concepts.
What kind of trials can be analyzed with the Bayesian P-Value Interpreter?
The app permits realistic interpretation of reported p-values from user-entered pre-trial probabilities for both single and sequential trials.
Is the Bayesian P-Value Interpreter available on multiple devices?
Currently, the Bayesian P-Value Interpreter is supported on iPhones. Information regarding availability on other devices is not provided.
How often is the Bayesian P-Value Interpreter updated?
The latest version is 2.3, and it was last updated on May 26, 2026. This indicates a recent update, suggesting ongoing development and maintenance.
What is the user sentiment for the Bayesian P-Value Interpreter?
The app has a perfect rating of 5.0 stars from 3 ratings, indicating very positive user sentiment among its current users.
Does the Bayesian P-Value Interpreter have ads?
No, the Bayesian P-Value Interpreter does not contain advertisements. It is a free application without any ad interruptions.





