# Combining splines with LASSO in clinical prediction models

**URL:** <https://discourse.datamethods.org/t/combining-splines-with-lasso-in-clinical-prediction-models/28595>\
**Category:** modeling strategy\
**Tags:** prediction\
**Created:** [January 10, 2026, 11:12am UTC](https://discourse.datamethods.org/t/combining-splines-with-lasso-in-clinical-prediction-models/28595 "2026-01-10T11:12:13Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![arthur\_albuquerque](https://discourse.datamethods.org/user_avatar/discourse.datamethods.org/arthur_albuquerque/32/3269_2.png) [@arthur\_albuquerque](https://discourse.datamethods.org/u/arthur_albuquerque)\
**Post date:** [January 10, 2026, 1:18pm UTC](https://discourse.datamethods.org/t/combining-splines-with-lasso-in-clinical-prediction-models/28595/3 "2026-01-10T13:18:27Z")

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I was indeed planning to use LASSO for both variable selection (combined with expert input before) and shrinkage, as mentioned in a previous post: [Optimism Correction after LASSO in clinical prediction models - #12 by arthur\_albuquerque](https://discourse.datamethods.org/t/optimism-correction-after-lasso-in-clinical-prediction-models/28579/12)

In that post you also mentioned using unsupervised learning, I have to delve more into this subject. In general I only see backward stepwise or LASSO for variable selection in high-quality articles about clinical prediction models. Not sure I have seen an applied example of unsupervised learning in this context.

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