There's an R package out there called WCE, which does proportional hazards modelling using weighted cumulative exposure.   Does anyone know of how something similar could be done in SAS? Perhaps using IML, or a combination of PROC and DATA steps?   We've tried PHREG, using a spline, and it's getting close-ish, but not exactly what this package does.   Thanks for any comment and notes!   https://cran.r-project.org/web/packages/WCE/index.html "A flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines."   ... View more

<cross-posted to SGF 2019, sorry for any redundancy you see>   I'm working on an idea for a paper at SGF 2020, and it's based off the first paper in the proceedings of the first SUGI meeting in 1976.   In that paper, some guy named Goodnight describes the beta release of a new procedure called PROC GLM.   He writes:   The general form of these statements is as follows:   PROC GLM; CLASSES list; MODEL dependent list = independent list I options; The PROCEDURE statement has no options or parms. The CLASSES list contains classification variables (if any) just as with PROC REGR in SAS 72.   So ... is it wonderful that the same code works, as is, today? Isn't SAS great?   Or .... have we not moved on from this? Adherence to old structures/languages have hindered the product's advancement!   I'm not sure where I've landed on this, and I'm interested in the community's take on this question.   I may post elsewhere, to generate a discussion - but not sure where.   Thanks,   Mike Carniello Astellas Pharma Global Development   ... View more