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RE: st: Using AIPW for missing data purposes in RCTs?


From   "Stephen Kay (TRUELIFE)" <Stephen.Kay@completetruelife.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Using AIPW for missing data purposes in RCTs?
Date   Fri, 28 Jun 2013 09:19:19 +0000

My missingness relates to drop outs (permanent) of missing monotone sort - study longitudinal-repeated measures. The reference I provided earlier by the National Research Council explains the AIPW technique I was wondering if Stata 13 could emulate - pages 58-59 in particular. Unfortunately not being employed in the academic community unless references are free I have to severely restrict what I can order - particularly for exploratory purposes. Hence my original post.

Thanks,

Steve
 
-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Steve Samuels
Sent: 27 June 2013 17:08
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Using AIPW for missing data purposes in RCTs?


I agree with Ariel.  I don't know that any of the programs that have been mentioned, -te aipw-, -dr-, or -drglm- , will solve Steve K.'s specific problem.


Steve

On Jun 27, 2013, at 10:53 AM, Ariel Linden, DrPH wrote:

Believe it or not, I am aware of the issues of missing data in both clinical trials and observational studies. It was not clear from the original posting what was the missing data problem. I did suggest -mi- if that suited the problem. IPTW approaches to deal with missing data are another animal altogether. Again, it was not clear from the original posting (nor is it any more clearer now) what the problem is with the data. 

The reference I provided was for longitudinal data, where weighting is used to account for censoring, which is a missing data problem.

The programs that Steve refers to below are not for longitudinal data.
Again, without knowing what your specific study is doing, or what missing data you have, it is not a simple task of providing useful information. 

Ariel

________________________________________
From
  Steve Samuels <sjsamuels@gmail.com>
To
  statalist@hsphsun2.harvard.edu
Subject
  Re: st: Using AIPW for missing data purposes in RCTs?
Date
  Thu, 27 Jun 2013 09:54:03 -0400
________________________________________
You are welcome, Steve.

I overlooked -drglm-, "Doubly robust estimation in generalized linear models" by N. Orsini, R. Bellocco, and A. Sjolander

See: http://www.stata-journal.com/article.html?article=st0290

. net install st0290.pkg

Also, -dr- is described in a Stata Journal article
http://www.stata-journal.com/article.html?article=st0149

Steve


On Jun 27, 2013, at 4:59 AM, Stephen Kay (TRUELIFE) wrote:

Thanks Steve for your clarifications to Ariel and also for the additional references and ado file that I was not aware of - most useful. 

Here's a further reference for you Ariel - free to download and a really good source to help in understanding various methods of handling missing data in clinical trials:

http://www.nap.edu/catalog.php?record_id=12955

Best,

Steve 



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