`Causal Mediation Analysis
Quasi-Bayesian Confidence Intervals
Estimate 95% CI Lower 95% CI Upper p-value
ACME (control) -0.001633 -0.002128 0.00 <2e-16 ***
ACME (treated) -0.001251 -0.002040 0.00 <2e-16 ***
ADE (control) -0.001082 -0.003008 0.00 0.296
ADE (treated) -0.000700 -0.001937 0.00 0.296
Total Effect -0.002333 -0.003881 0.00 0.022 *
Prop. Mediated (control) 0.677185 0.471999 1.66 0.022 *
Prop. Mediated (treated) 0.496793 0.178559 2.01 0.022 *
ACME (average) -0.001442 -0.001940 0.00 <2e-16 ***
ADE (average) -0.000891 -0.002488 0.00 0.296
Prop. Mediated (average) 0.586989 0.329850 1.85 0.022 *
Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1
Sample Size Used: 19727
Simulations: 1000 `
How should I interpret this proportion greater than 1?
`Causal Mediation Analysis
Quasi-Bayesian Confidence Intervals
ACME (control) -0.001633 -0.002128 0.00 <2e-16 ***
ACME (treated) -0.001251 -0.002040 0.00 <2e-16 ***
ADE (control) -0.001082 -0.003008 0.00 0.296
ADE (treated) -0.000700 -0.001937 0.00 0.296
Total Effect -0.002333 -0.003881 0.00 0.022 *
Prop. Mediated (control) 0.677185 0.471999 1.66 0.022 *
Prop. Mediated (treated) 0.496793 0.178559 2.01 0.022 *
ACME (average) -0.001442 -0.001940 0.00 <2e-16 ***
ADE (average) -0.000891 -0.002488 0.00 0.296
Prop. Mediated (average) 0.586989 0.329850 1.85 0.022 *
Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1
Sample Size Used: 19727
Simulations: 1000 `
How should I interpret this proportion greater than 1?