re: st: Mediate with non-binary treatment variable

["Ariel Linden, DrPH" <ariel.linden@gmail.com>]

Brian, 

Please read the Statalist FAQ regarding posting to the list. You will see
that we expect that a poster will tell us where they downloaded the program
from and any additional information to tell us discern which version, etc.
is being used.

Your posting highlights the importance of following the Statalist guidelines
since -mediate- is an older version of -medeff- which is a user-written
program (net sj 11-4 st0243). In the help file for -medeff- you will find
the papers that serve as the basis for this program:

Imai, K., L. Keele, and D. Tingley. 2010.  A general approach to causal
mediation analysis.  Psychological Methods 15: 309-334.

Imai, K., L. Keele, D. Tingley, and T. Yamamoto. 2010.  Causal mediation
analysis using R.  In Advances in Social Science Research Using R, ed. H. D.
Vinod, 129-154.  New York: Springer.

Imai, K., L. Keele, and T. Yamamoto. 2010.  Identification, inference, and
sensitivity analysis for causal mediation effects.  Statistical Sciences
        25: 51-71.

All these papers discuss different treatment, mediator and outcome variable
types....

Ariel


Date: Mon, 25 Feb 2013 17:44:38 -0700
From: "Brian Carolan" <brian@briancarolan.org>
Subject: st: Mediate with non-binary treatment variable

Hi,

I am using the user-written package -mediate- in Stata 11.  Can someone
point me to any published examples that have used this procedure with a
non-binary treatment variable and a binary outcome variable?  I am
trying to get some guidance on how to report and interpret the results
(average causal mediation effects and average direct effects).  Thank
you for any leads.

Regards, Brian Carolan


*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/