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RE: st: Bootstrapped Paired-Samples (Dependent) T-Test

From   "Hartman, Rob" <[email protected]>
To   "[email protected]" <[email protected]>
Subject   RE: st: Bootstrapped Paired-Samples (Dependent) T-Test
Date   Thu, 27 Jan 2011 11:58:18 -0500

Right, I think we are on the same page, but just to clarify: The issue here is that since the predictor variable is binary status in the matched pair (e.g., are you the pre or the post score for case 39), the data would be in long format with the two members of each matched pair falling in separate rows with an id variable indicating their shared membership in a common pair.  The data found via sysuse bplong are illustrative. So, I believe this would need to be long format w/ resampling of clusters, but perhaps I'm missing something.

Pair	Score	PrePost
1	.8	0
1	.61	1
2	.4	1
2	.3	0
54	.9	1
54	.4	0


-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Nick Cox
Sent: Thursday, January 27, 2011 11:40 AM
To: [email protected]
Subject: Re: st: Bootstrapped Paired-Samples (Dependent) T-Test

I don't see a difference or a difficulty. Bootstrapping resamples from
a set of observations (cases, records, rows in dataset) and paired
values for two variables remain paired.


On Thu, Jan 27, 2011 at 3:42 PM, Hartman, Rob <[email protected]> wrote:

> I want to apply bootstrapping to a paired samples t-test.  I'm not aware of a straightforward application of this in Stata.  My impulse is to treat the t-test as a special case of regression, and thus use regress with a dummy predictor and bootstrapping of clustered standard errors, where the clustering is on the particular matched pair.
> Is there a reason why this does not make sense in principle or would not work in practice? Any other workarounds? Am I making it harder than it has to be?

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