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Measurement data included for Propensity Score generation?

Researchers
#1

Hi everyone!

Can i confirm whether any of the measurements or observation variables are used in propensity score generation? So for example BMI, smoking status

If there are included - how is the missingness of these variables dealt with when the propensity scores are generated?

Thanks for your help
Danielle

#2

The default set of covariates used to construct propensity scores does not contain verbatim measurement values. Instead, two types of binary covariates are constructed for measurements:

  1. Was the measurement observed during the lookback window? (1 binary variable per measurement concept ID)
  2. Was a measurement value observed below, within, or above the normal range during the lookback window? (3 binary variables per measurement concept ID)

In both cases missingness doesn’t really apply: either the measurement was observed (within a range), or it was not.

I think smoking status is an observation, not a measurement?

#3

Thank you for the quick reply! Thanks for the clear explanation :slight_smile: Sorry you are totally right smoking is an observation - newbie error! Is there be a way to include observations such as smoking status like you described for measurements? If this info is in the book or any of the vignettes let me know in case i missed it!

t