Due to lack of time, I have just done a quick diagonal read of your post.
See here. Might be useful.
It's about discrete-time logistic hazard regression (aka survival data mining) -- to be done with PROC LOGISTIC :
Predictive Modeling Using Survival Analysis (NESUG18 conference) Vadim Pliner, Verizon Wireless, Orangeburg, NY https://www.lexjansen.com/nesug/nesug05/pos/pos6.pdf
Allison P.D. (1982), “Discrete-Time Methods for the Analysis of Event Histories,” in Sociological Methodology 1982, Jossey-Bass.
Predicting Customer Value (SUGI 30 conference 2005 -- Paper 073-30) Will Potts, Data Miners, Inc. https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/073-30.pdf
It’s About Time: Discrete Time Survival Analysis Using SAS® Enterprise Miner™ (SAS Global Forum 2012 -- Paper 132-2012) Sascha Schubert, SAS Institute Inc., Heidelberg, Germany ; Susan Haller and Taiyeong Lee, SAS Institute Inc., Cary, NC https://support.sas.com/resources/papers/proceedings12/132-2012.pdf
Art or science? Choosing the right regression model by UDO SGLAVO on OCTOBER 11, 2021 https://blogs.sas.com/content/subconsciousmusings/2021/10/11/art-or-science-choosing-the-right-regression-model/
Good luck with your modelling efforts,
Koen
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