Matchit July 2013

matchit@lists.gking.harvard.edu

6 participants
4 discussions

Using MatchIt with a pattern mixture models for missing data?

by Sharon Simonton

Dear All, Thank you for a great software package! I'm currently working on a project where MI is not a viable option. I'm hoping to use pattern mixture models to estimate propensity scores for cases and controls having missing data for covariates. Is there then any way to then use MatchIt for matching and computing balance statistics? Hoping that there might be a way to use stratification or missing data indicators to do this (also considering general location models-- just in case these would work better here). I'll be tremendously appreciative of any thoughts or advice you may have on this. Also want to let you know that I can't open the documents that you show links to in your responses (e.g http://gking.harvard.edu/node/4355/rbuild_documentation/How_Do_I3.html.<http://gking.harvard.edu/node/4355/rbuild_documentation/How_Do_I3.html>Figured out the syntax here but would be helpful to be able to see the docs you reference. Is there anything I can do to access them? Thank you! Best wishes, Sharon Simonton University of Michigan Ann Arbor, MI

10 years, 9 months

by 2013-07-21 23:12:42

10 years, 9 months

Warning message: glm.fit: fitted probabilities numerically 0 or 1 occurred

by Dancer, Anthony

Hi, Hoping someone might be able to help me with the above warning message. I have a dataframe with 7 covariates. 6 out of the 7 run without any issues, but any matching method run involving the 7th returns the following message; "Warning message: glm.fit: fitted probabilities numerically 0 or 1 occurred" I've googled the above and despite some fairly detailed explanations I'm none the wiser as to how to progress. The variable is numerical. Sample as follows: "[1] 42.108184 1.925875 42.108184 3.540687 2.331532 2.331532 2.781410 2.781410 1.701947 1.701947 [11] 1.701947 1.701947 1.701947 1.966572 1.966572 10.994199 0.000000 0.748349 3.666423 3.666423 [21] 3.666423 3.666423 0.746897 2.046640 1.019349 0.371999 1.019349 0.208058 0.194368 0.194368 [31] 0.952280 0.952280 0.952280 1.202849 1.202849 1.361906 1.361906 1.694844 0.618513 1.361906 [41] 1.361906 1.361906 0.304016 0.304016 0.641256 0.641256 0.641256 0.234019 0.641256 0.641256" Any suggestions would be very much appreciated. Cheers, Anthony Anthony Dancer Imperial College London Silwood Park Campus Buckhurst Road Ascot SL5 7PY t: +44(0) 7968 836 451 e: anthony.dancer09(a)imperial.ac.uk s: anthony.dancer1

10 years, 9 months

Full matching with strata

by Glew, Louise

Hi, I have a question regarding how to stratify a matching problem in MatchIt. I've been using the package optmatch directly, to identify optimal full matches for a stratified dataset (i.e., I have treatment and control groups for two sites, and I'd like to match site-by-site). Extracting the matched data from optmatch is complex, so I've switched to calling optmatch through MatchIt, using the following code: m1.out<-matchit(Tr~ HH_SIZE+DOM_ETH+HH_GENDER+ED_LEVEL+ED_LEVEL_MISSING+RESIDENT+HH_AGE+MARKET,data=covariates, method="full", distance="linear.logit", discard="hull.both", min.controls=1,max.controls=Inf) Is there a way to incorporate the strata denoted by "MPAID" when running method='full' in MatchIt? I'd like to be able to view one set of balance statistics, but still enforce matching within sites. Any advice would be greatly appreciated! Thank you! Louise

10 years, 10 months

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Matchit July 2013