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| 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 12:07:31 -0400 |
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 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/