topic IP weights in Marginal structure models in Statistical Procedures

IP weights in Marginal structure models

sasprog — Wed, 04 May 2022 14:45:42 GMT

Hi community,

I’m learning MSM model and find a helpful paper published by SAS: https://support.sas.com/content/dam/SAS/support/en/books/analysis-of-observational-health-care-data-using-sas/61876_excerpt.pdf

I was not able to follow the piece of code below on page 16:

DATA WEIGHTS;

merge weights predtrt predcen;

By patsc vis;

VWT=Predtrt*predcen;

If first.patsc then stabwt=VWT;

Else stabwt=VWT*DUM;

Retain DUM;

DROP DUM;

DUM=STABWT;

run;

how was DUM defined here?

Re: IP weights in Marginal structure models

mkeintz — Wed, 04 May 2022 17:15:35 GMT

The variable DUM has the same the value as STABWT when the RUN statement is encountered. But the DROP statement keeps it out of the WEIGHTS dataset.

However, DUM is retained, meaning each observation starts out with the value in DUM generated in the preceding observation.

So when the "else stabwt=vwt*dum;" statement is executed, it is actually calculating stabwt as the product of VWT from the current observation and STABWT from the prior observation. EXCEPT when the current obs is the beginning of a new patsc group, when the "stabwt=VWT;" statement is executed.

In other words, STABWT=VWT*lag(STABWT) except when starting a new patsc.

Re: IP weights in Marginal structure models

sasprog — Wed, 04 May 2022 19:21:52 GMT

Thank you for explain, very helpful.