[Mediation-information] Prop. Mediated vs. ACME (average).
Kosuke Imai
kimai at Princeton.Edu
Sat Jun 13 16:46:37 CEST 2015
Prop Mediated is a ratio of two estimates, which are known to have a very
high variance especially when the average treatment effect is not precisely
estimated. I would focus on the point estimate of this quantity rather
than its CI. The most important thing is the ACME which have a much more
stable CI.
Kosuke Imai
Department of Politics
Princeton University
http://imai.princeton.edu
On Tue, Jun 9, 2015 at 10:34 PM, Daniel Newman <dan.newman86 at gmail.com>
wrote:
> Dear mediation gourp,
>
> Firstly, thank you to Profs. Tingley, Yamamoto, Hirose, Keele, Imai, et
> al. for building this R package. I have just started using it.
>
> I am a little confused about the difference between "Prop. Mediated
> (average)" and "ACME (average)". Could anybody help explain this to me?
>
> For example, in the mediate summary below, the 95% CIs show that my "Prop.
> Mediated (average)" is significantly greater than zero, but the ACME
> (average) is not significantly greater than zero.
>
> Causal Mediation Analysis
>
> Quasi-Bayesian Confidence Intervals
>
> Mediator Groups: AllConds
>
> Outcome Groups: AllConds
>
> Output Based on Overall Averages Across Groups
>
> Estimate 95% CI Lower 95% CI Upper p-value
> ACME (control) -0.0684 -0.1537 0.0103 0.1
> ACME (treated) -0.2053 -0.4612 0.0308 0.1
> ADE (control) -3.0298 -6.8686 0.4929 0.1
> ADE (treated) -3.1667 -7.1734 0.5134 0.1
> Total Effect -3.2351 -7.3259 0.5237 0.1
> Prop. Mediated (control) 0.0213 0.0139 0.0291 0.0
> Prop. Mediated (treated) 0.0640 0.0417 0.0873 0.0
> *ACME (average) * -0.1369 -0.3075 0.0205 0.1
> ADE (average) -3.0983 -7.0210 0.5032 0.1
> *Prop. Mediated (average)* 0.0427 0.0278 0.0582 0.0
>
>
> This output above was generated from the code below - a mediation model to
> test whether the continuous mediator ("PrePupilDiameter ") mediates the
> relationship between the categorical treatment ("Light") and the continuous
> dependent variable ("RT") :
>
> med.fit<-lmer(PrePupilDiameter ~ Light + (1 | AllConds), data =
> data_LeftTargets, na.action = na.exclude)
> out.fit<-lmer(RT ~ PrePupilDiameter + Light + PrePupilDiameter * Light +
> (1 | AllConds), data = data_LeftTargets, na.action = na.exclude)
> med.out <- mediate(med.fit, out.fit, treat = "Light", mediator =
> "PrePupilDiameter", control.value = 1, treat.value = 3, sims = 100,
> outcome="RT")
> summary(med.out)
>
> Any help explaining to me the difference between "Prop. Mediated
> (average)" and "ACME (average)" would be much appreciated
>
> Cheers
> Dan
>
>
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