hello. i am running Proc Logistic on a dataset with 8 million observations. i am stratifying by calendar year (13 years. 2001-2013). the exposure and outcome are binary variables. i am adjusting by a propensity score (continuous number between 0 and 1. 9 decimal places) proc logistic data=dsn; strata calendarYear/ no summary; model outcome (event = '1') = exposure ps / risklimits parmlabel; run; it is taking hours to run. any suggestions on what i can change to decrease processing time? much gratitude. christine
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