Precision Guardrail Planner

Planning assumptions

Defaults are an editable synthetic example for regression testing, not recommended scientific guardrails. All results condition on the true effect you enter.

Current precision

Effect measure

Precision source Direct working-scale SE Reported 95% CI reconstruction

Working-scale standard error

Lower 95% confidence limit

Upper 95% confidence limit

Null value

Assumed truth and selected-claim rule

Assumed true effect This is a design assumption, not an estimate or posterior draw.

Alpha

Selected-claim rule

Claim direction

Claim threshold Required only for threshold-based rules and must lie beyond the null.

Mandatory guardrails

Select at least one. Values are editable examples.

Minimum selected-claim probability

Maximum Type S

Maximum Type M

Sensitivity across assumed true effects

Evaluate a user-specified plausible range

The range is a sensitivity analysis, not a probability distribution.

Range minimum

Range maximum

Grid points (3–101)

Optional approximate sample-size projection

Assume information is proportional to sample size and all other design features remain unchanged.

Current effective sample size

This optional scaling is approximate. It is not a design-specific sample-size calculation.

Precision requirement

Joint result

Per-target requirements

Each mandatory guardrail solved independently under the same assumptions
Target	Requested	Status	Required SE	Information multiplier	Approx. 95% CI width	Achieved claim probability	Achieved Type S	Achieved Type M	Solver note

Required relative information

Sensitivity results

Joint requirement across the user-specified assumed-effect range
Assumed true effect	Status	Joint information multiplier	Joint required SE	Binding target(s)

Copyable grant/reviewer text

Assumptions and warnings

Run the planner to see per-target feasibility, the strictest joint requirement, binding constraints, and optional sensitivity and sample-size results.