[Mediation-information] Fwd: R-Package 'mediation': Mediation with censored outcome

[dustin tingley]

Hi-
Yes, you can now estimate a tobit model for the censored outcome. You need
to use the latest version of our package (3.0). Its easiest to download this
if you also have the latest version of R (2.13).

Here is some example code:
Anxiety.m.GD_NegAff <- lm(GD_NegAff ~ AnxietyVsCont +
gender_p+Trust_GSS_pre+ideo7,  data=Anxiety)
Anxiety.y.GD_NegAff <- vglm(Y ~
AnxietyVsCont+GD_NegAff+AnxietyVsCont:GD_NegAff+gender_p+Trust_GSS_pre+ideo7,
tobit(Lower=0, Upper=5),  data=Anxiety)
delay.anx.gd<-mediate(Anxiety.m.GD_NegAff  , Anxiety.y.GD_NegAff ,
sims=1000, treat="AnxietyVsCont", mediator="GD_NegAff")

Also see this updated vignette
http://cran.r-project.org/web/packages/mediation/vignettes/mediation.pdf

best,
Dustin


Dustin Tingley
Government Department
Harvard University
http://scholar.harvard.edu/dtingley



On Fri, Jul 8, 2011 at 4:58 AM, Lukas Giesinger <
l.giesinger at psychologie.uzh.ch> wrote:

> Dear Mr Tingley,
>
> Is it possible to test mediation effects with a censored outcome variable
> using the 'mediation' package?
>
> While on p. 1f. of Imai, Keele, Tingley and Yamamoto (2011) the tobit model
> is mentioned for use with 'mediate', Table 1 (p. 8) shows that tobit via
> vglm cannot be used to estimate causal mediation effects.
>
> Also help(mediate) does not mention 'vglm' class objects as possible
> arguments of 'mediate'.
>
> So, is calculating mediation effects using 'mediate' with vglm-tobit models
> possible at all?
>
> Thanks in advance,
> Niklaus
>
> ---
> Imai, K., Keele, L., Tingley, D., & Yamamoto, T. (2011). Causal mediation
> analysis using R.
> http://www.polisci.ohio-state.**edu/faculty/lkeele/**mediationIII.pdf<http://www.polisci.ohio-state.edu/faculty/lkeele/mediationIII.pdf>
>
> --
> lic. phil. Lukas Giesinger
> Universitaet Zuerich
> Psychologisches Institut
> Allgemeine Psychologie (Motivation)
> Binzmuehlestrasse 14/6
> CH-8050 Zuerich
>
> Telefon 0041 (0) 44 635 75 12
> Telefax 0041 (0) 44 635 75 19
>
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