Publication
Dynamic Predictions in Non-Small Cell Lung Cancer Using Joint Modeling of Longitudinal and Time-To-Event Outcomes Data.
Christopher R Pretz, Sara Wienke, Carin R Espenschied, Samantha I Liang, Jiemin Liao, Christopher R Cabanski, Jim Hayes, Victoria Ngo, Enjun Yang, Amar K Das
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- PubMed
- Retrieved
- Oct 1, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20261001-000001
Abstract
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Joint modeling (JM) of longitudinal and time-to-event (TTE) data is a powerful statistical technique that elucidates how temporal changes in a biomarker relate to TTE outcomes while accounting for study confounders. The growing use of next-generation sequencing (NGS) in precision oncology,…
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- cancerMalignant Lung Neoplasmdictionary0.60
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