Observed-data conditioning
Compatibility and relative-likelihood displays ask how candidate effect values relate to one reported estimate and confidence interval under a Wald reconstruction.
Wald inference applet portfolio
Choose by inferential question. Observed-data tools evaluate candidate effects against a reported estimate and confidence interval; design tools evaluate repeated-study behavior under assumed true effects.
All calculations happen in the linked client-side apps. This catalog performs no statistical calculation and sends no user values anywhere.
“Software validated” means numerical and release conformance to the declared formulas and tests. It does not mean clinical validation or suitability for clinical decision support. See the portfolio validation report.
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Keep the conditioning straight
| Tool | Question | Conditions on | X-axis means | Core outputs | Assumed truth? | Selection rule? | Primary limitation |
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One distinction prevents many errors
Compatibility and relative-likelihood displays ask how candidate effect values relate to one reported estimate and confidence interval under a Wald reconstruction.
Detectability, Type S/M, and precision planning ask what repeated future statistics would do if specified effects were true under a chosen claim rule.