Hello:
I am interested in using MatchIt with an imputed dataset (m=10). I have
read previous questions on this listserv related to imputations and
matchit, and see that I should run the matching on each imputation.
The problem I am facing, however, is that there is missingess on the
matching variable itself, which may result in different matches per
imputation. Do you have any suggestions on how to deal with this
restriction? I was thinking of using a randomizer to "hard assign"
membership into case/control (the matching variable) with the probabilty of
being selected as a case equal to the number of imputations in which case
was imputed. Does that sound plausible, or is there a way to handle this
non-deterministic problem in MatchIt?
Andrea
--
Andrea Lamont, MA
Clinical-Community Psychology
University of South Carolina
Barnwell College
Columbia, SC 29208
Please consider the environment before printing this email.
CONFIDENTIAL: This transmission is intended for the use of the
individual(s) or entity to which it is addressed, and may contain
information that is privileged, confidential, and exempt from disclosure
under applicable law. Should the reader of this message not be the intended
recipient(s), you are hereby notified that any dissemination, distribution,
or copying of this communication is strictly prohibited. If you are not
the intended recipient, please contact the sender by reply email and
destroy/delete all copies of the original message.
Show replies by date