EBM Calculator vs Bias Cure

Built to support your appraisal of medical evidence—EBM Calculator is fast, clear, and easy to use. Effect Size Calculator • Used for studies that examine the effect of a therapy or exposure • Calculate key measures for dichotomous outcomes: ◦ Absolute Risk Reduction (ARR) ◦ Number Needed to Treat (NNT) ◦ Risk Ratio (RR) ◦ Relative Risk Reduction (RRR) ◦ Odds Ratio (OR) • Includes 95% Confidence Intervals for every metric Diagnostic Test Calculator • Used for studies that evaluate the accuracy of a diagnostic test • Calculate core statistics: ◦ Sensitivity & Specificity ◦ Likelihood Ratios (LR+, LR–) ◦ Positive & Negative Predictive Values (PPV, NPV) • Includes 95% Confidence Intervals for all measures Post-Test Probability Calculator • Used to estimate the likelihood of disease after a test result • Input Sensitivity & Specificity or Likelihood Ratios • Visualize probability changes with an interactive Fagan Nomogram Save, Search & Share • Save unlimited results for future reference • Search, sort, and filter results to quickly find what matters • Share results as a PNG—ideal for Messages, email, and clean formatting • Export results as an .ebmc file to archive or send to other EBM Calculator users • Tap an .ebmc file to import results back into EBM Calculator Lessons • Explore lessons in Evidence-Based Medicine (EBM) • Reinforce core concepts in biostatistics and study design • Search lessons by title or keyword Guided Tutorials • Step-by-step tutorials walk you through every major feature • Access from the menu in each view or from Settings iCloud Sync • Saved results sync automatically across all your devices Have questions, feedback, or suggestions? Reach out to support@ebmcalculator.com

Bias Cure supports transparent reasoning. It helps doctors and clinicians correctly interpret and communicate test results to their patients. The chances of having a particular cancer, given a positive test result, are not *at all* the same as the chances of getting a positive test result, given a person has that cancer. This app cuts through that confusion and provides the former number, the probability the patient *really* wants to know. Start with a possible "condition", add one or more test results, and watch the probability of having that condition update step by step. The app includes a an enlarged library of conditions and tests, but users also can enter any disease and diagnostic test manually and edit sensitivity and specificity values freely. The accuracy of the tests in the included library is backed by peer-reviewed research articles cited in the Validation Report, so users can go back to the original sources for more granular detail. Bias Cure includes transparent sequential probability updating, individual 2x2 tables for test interpretation, a visual probability trend graph, and a printable validation PDF that shows the intermediate steps behind the final result along with source citations. Built-in Help pages explain Bayes' theorem, the 2x2 table, and how to enter and interpret test data. Bias Cure is an educational and decision-support aid. It does not provide medical advice, does not replace clinical judgment, and should not be used as the sole basis for diagnosis or treatment decisions.