I´m trying to match 336 exposed patients from a cohort with a total of
966 patients using psmatch2:
xi:psmatch2 E `var', outcome(out) neighbor(1) common
I thought this would give me 1:1 matching, but I get 336 exposed and
662 control patients.
Then doing
ttest -different variables-, by(_t)
doesnt really match very well despite reasonable overlapping
propensity distributions. Is this due to omitting the weighting
option?
I´d like to use these propensity matched data for a logrank test, but
I´m uncertain to the type of weight I should use. I assumed it should
be pweight, but I found another posting here where they said fweight
leaving me uncertain....
Regards
M
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