Effect estimation · Analysis and reporting

Standardized Risk and Risk-Difference Curves

Synthetic standardized risk inputs distinguish absolute outcome probability from a treatment risk difference.

Download SVG Open code and full worked example

When to use it

Use after a justified standardization or other risk-estimation analysis at aligned horizons.

How to read it

At month 24 A is 6%, B is 8%, and A minus B is -2 percentage points. Adjustment and confidence intervals are not fitted here.

Worked example

Synthetic standardized risk inputs distinguish absolute outcome probability from a treatment risk difference.

At month 24 A is 6%, B is 8%, and A minus B is -2 percentage points. Adjustment and confidence intervals are not fitted here.

Result: Use after a justified standardization or other risk-estimation analysis at aligned horizons.

Produced by

Cumulative Incidence and Absolute Risk Estimation G-Computation and the Parametric G-Formula

Reference: Primary method sources are listed in the linked producing-method entries. The displayed data are original synthetic teaching examples, not published patient results.