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Characterizing the Feasibility and Performance of Real-World Tumor Progression End Points and Their Association With Overall Survival in a Large Advanced Non–Small-Cell Lung Cancer Data Set

PURPOSE: Large, generalizable real-world data can enhance traditional clinical trial results. The current study evaluates reliability, clinical relevance, and large-scale feasibility for a previously documented method with which to characterize cancer progression outcomes in advanced non–small-cell...

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Bibliografiske detaljer
Udgivet i:JCO Clin Cancer Inform
Main Authors: Griffith, Sandra D., Miksad, Rebecca A., Calkins, Geoff, You, Paul, Lipitz, Nicole G., Bourla, Ariel B., Williams, Erin, George, Daniel J., Schrag, Deborah, Khozin, Sean, Capra, William B., Taylor, Michael D., Abernethy, Amy P.
Format: Artigo
Sprog:Inglês
Udgivet: American Society of Clinical Oncology 2019
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6873982/
https://ncbi.nlm.nih.gov/pubmed/31403818
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/CCI.19.00013
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