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Re: st: Propensity score matching after multiple imputation
From
Adam Olszewski <[email protected]>
To
[email protected]
Subject
Re: st: Propensity score matching after multiple imputation
Date
Fri, 21 Mar 2014 10:34:17 -0400
In their most recent paper:
Mitra R1, Reiter JP. A comparison of two methods of estimating
propensity scores after multiple imputation. Stat Methods Med Res.
2012
they recommend:
1) calculating PS in each imputed dataset
2) averaging PS accross the imputations
3) estimating treatment effect using the averaged PS
I am not sure how this addresses the problem of uncertainty of
estimates though. I am not aware of a method that would estimate the
treatment effect taking into consideration the uncertainty about the
propensity score.
AO
On Fri, Mar 21, 2014 at 8:41 AM, natalia malancu
<[email protected]> wrote:
> Hi guys!
>
> After reading Mitra, Robin and Reiter, Jerome P. (2011) and Hill's
> 2004 paper, I was wondering whether there is a way to:
> a. compute and then
> b. average propensity scores after multiple imputation. Causal
> inference to follow
>
> In STATA 12, which I am using, this is not possible with psmatch2. Is
> is possible in STATA 13 with teffects? Are there are options I am
> missing on?
>
> Any suggestions are much appreciated,
> Natalia
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