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Re: st: Paired t-test for propensity match cohort


From   Sripal Kumar <sripalkumar@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Paired t-test for propensity match cohort
Date   Sun, 17 Jul 2011 12:53:52 -0400

Thanks Lars. I dont think this helps.  In essence, what I need is the
mean age (and the test for significance) in the matching_Variable 0
when compared with the mean age in matching_Variable 1, stratified by
matched pairs (Pairs).  The below example is after propensity score
matching with pairs 1, 1 forming a pair and so forth.  The simple
solution would be to create age_0 (age for the matching_Variable 0 for
pair 1) and age_1 (age for the matching_Variable 1 for pair 1), so
that the row for pair 1 would have 2 columns for age. However, my
dataset has around 10,000 cases and the above is not easy to do. Any
thoughts? I hope I have made myself clear.

Pairs               matching_Variable              Age
1                           0                                    53
1                           1                                    54
2                           0                                    55
2                           1                                    52
3                           0                                    55
3                           1                                    52
4                           0                                    53
4                           1                                    54
5                           0                                    55
5                           1                                    52







On Sun, Jul 17, 2011 at 12:06 PM, Lars Folkestad
<lfolkestad@health.sdu.dk> wrote:
> If you sort group and age and use the stable option you can reshape your data using the reshape wide option
> The stable option is critical.
> Tjeck you data one million times when you have reshaped your data, so that pair 1 is a line. (there is a funktion in Stata that can do the checking for you, but cannot remember the name of it.)
>
> Then do ttest varex1 == varex2
>
> Hope it helps, and that i havent misunderstood your problem.
>
> Mvh
> Lars Folkestad
>
>
> Den 17/07/2011 kl. 17.26 skrev "Sripal Kumar" <sripalkumar@gmail.com>:
>
>> Dear all,
>>
>> There should be a simple solution to the problem below but I cant seem
>> to wrap my head around it. I have a propensity matched cohort that is
>> arranged as
>>
>> Pairs               matching_Variable              Age
>> 1                           0                                    53
>> 1                           1                                    54
>> 2                           0                                    55
>> 2                           1                                    52
>> 3                           0                                    55
>> 3                           1                                    52
>> 4                           0                                    53
>> 4                           1                                    54
>> 5                           0                                    55
>> 5                           1                                    52
>>
>> How can I do a paired sample t-test for age without having to create
>> two other variables age_0 and age_1.
>> thanks in advance.
>> Sripal.
>>
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