Outcome Risk Modeling for Disability-Free Longevity: Comparison of Random Forest and Random Survival Forest Methods

The RF and RSF models exhibited comparable discrimination and calibration. We conclude that RSF may not always lead to more accurate predictions of outcomes compared to RF. Further examination in different clinical trial cohorts is needed to better understand the context in which adding time into outcomes risk modeling adds value.

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Publication Details

Journal
medRxiv
Published
2026-02-17
DOI
https://doi.org/10.64898/2026.02.13.26346264
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
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article

Outcome Risk Modeling for Disability-Free Longevity: Comparison of Random Forest and Random Survival Forest Methods

Lianlian Du, Roselyne Tchoua, Raj C. Shah, Giorgos Tzimas et al.
medRxiv
Frailty in Older Adults
article

Outcome Risk Modeling for Disability-Free Longevity: Comparison of Random Forest and Random Survival Forest Methods

Lianlian Du, Roselyne Tchoua, Raj C. Shah, Giorgos Tzimas, Joseph C Vanghelof
article en

Abstract

The RF and RSF models exhibited comparable discrimination and calibration. We conclude that RSF may not always lead to more accurate predictions of outcomes compared to RF. Further examination in different clinical trial cohorts is needed to better understand the context in which adding time into outcomes risk modeling adds value.

medRxiv
DePaul University (US), Rush University Medical Center (US)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 51%
Frailty in Older Adults
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