TABLE 2.

Sensitivity to noise.

Index	Linear models/presence of effect	Logistic models/presence of effect
p-value	0.35	0.40
p-direction	0.36	0.40
p-MAP	0.55	0.60
ROPE (95%)	0.45	0.45
ROPE (full)	0.46	0.45
Bayes factor (vs. 0)	0.79	0.65
Bayes factor (vs. ROPE)	0.81	0.67

This table shows the standardized coefficient between noise and the value of each index when the true effect is present, adjusted for sample size and stratified by model type. The stronger the coefficient is, the stronger the relationship with noise.