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Re: st: stcox after psmatch2
From
Steve Samuels <[email protected]>
To
[email protected]
Subject
Re: st: stcox after psmatch2
Date
Thu, 10 May 2012 13:27:00 -0400
I agree with Joerg: Ignore the matching. The matched-set analysis is best reserved for "natural" sets. Kalbfleisch and Prentice give the example of a treatment randomized to the right or left eye of patients with diabetic retinopathy.
Steve
[email protected]
Kalbfleisch, J. D., & Prentice, R. L. (2002). The statistical analysis of failure time data (2nd ed. Vol. Wiley series in probability and statistics). Hoboken, N.J: Wiley
On May 10, 2012, at 1:04 PM, Joerg Luedicke wrote:
George, just as a clarifying addition to what Steven and Ariel said:
When doing propensity score matching the goal is to improve
comparability of the groups in terms of balance and overlap, such that
the matched groups are similar _on average_. The actual pairing is
usually being ignored, mainly because the pairing is done by the
analyst and not part of the data generating process or data
collection. Have a look at Chapter 10.3 in:
Gelman, A & Hill J (2007): Data Analysis Using Regression and
Multilevel/Hierarchical Models. New York: CUP.
where this is explained.
J.
On Wed, May 9, 2012 at 10:33 PM, George Gunapal Pradeep Paul (NHGHQ)
<[email protected]> wrote:
> Dear all,
> I am comparing a group of Chronic Obstructive Pulmonary Disease (COPD)patients enrolled in a disease management program and a control group. I calculated pscore and did psmatch2 using c:\ado\plus\p\psmatch2.ado *! version 4.0.5 18apr2012 E. Leuven, B. Sianesi. I used psmatch2 to adjust for their baseline differences and now I would like to do a cox regression on the matched program patients and controls to see if there is a difference in time to death between the two groups.
>
> I would like to know how to run stcox after psmatch2 , thereby identifying the matching sequence for the cox regression. I tried looking for answers for this but found only one unanswered relevant question which could be found at http://www.stata.com/statalist/archive/2009-11/msg00709.html
>
> Kindly help.
>
> Thank you,
>
> Best regards,
> Pradeep
>
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