Date: Thu, 22 Dec 2011 17:36:19 -0500
Reply-To: Sas Beginner <cep@STUNTZ.ORG>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Sas Beginner <cep@STUNTZ.ORG>
Subject: creating propensity score. quasi separation error
i created a dataset of 6-month time blocks. within each 6-month block, i am
running proc logistic to create propensity scores. i then use greedy
matching to match the exposed subjects to reference subjects (within this
it was all looking good until i hit a warning on one of the 6-month blocks.
here is my sas code.
PROC LOGISTIC DATA=inpatient_229 Descend;
MODEL initiator = age alcoholism_prior beta_blocker_2 bis_2
bmi_prior diuretics_2 dvt_prior estrogen_2 gc_2
/SELECTION = STEPWISE RISKLIMITS LACKFIT RSQUARE PARMLABEL;
OUTPUT OUT= Propen229 prob=prob;
here is the sas log:
NOTE: PROC LOGISTIC is modeling the probability that initiator=1.
WARNING: There is possibly a quasi-complete separation of data points. The
maximum likelihood estimate may not exist.
WARNING: The LOGISTIC procedure continues in spite of the above warning.
Results shown are based on the last maximum likelihood iteration. Validity
of the model fit is questionable.
NOTE: There were 3484 observations read from the data set V20FRAC.INPATIENT_229.
NOTE: The data set WORK.PROPEN229 has 3484 observations and 81 variables.
- is there anything i can do to resolve the warning?
- should i just not include this specific 6-month block in my final
many thanks! happy holidays.