Competing risks data in clinical oncology

Competing risks data analysis plays a critical role in the evaluation of clinical utility of specific cancer treatments and can inform the development of future treatment approaches. Although competing risks data are ubiquitous in cancer studies, competing risks data are infrequently recognized and...

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Main Author: Haesook Teresa Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1360266/full
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author Haesook Teresa Kim
author_facet Haesook Teresa Kim
author_sort Haesook Teresa Kim
collection DOAJ
description Competing risks data analysis plays a critical role in the evaluation of clinical utility of specific cancer treatments and can inform the development of future treatment approaches. Although competing risks data are ubiquitous in cancer studies, competing risks data are infrequently recognized and competing risks data analysis is not commonly performed. Consequently, efficacy of specific treatments is often incompletely and inaccurately presented and thus study results may be interpreted improperly. In the present article, we aim to enhance awareness of competing risks data and provide a general overview and guidance on competing risks data and its analysis using cancer clinical studies.
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spelling doaj.art-a6dc86c4a82c4ef78faa9f7a3bb11d222024-04-04T05:04:24ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2024-04-011410.3389/fonc.2024.13602661360266Competing risks data in clinical oncologyHaesook Teresa KimCompeting risks data analysis plays a critical role in the evaluation of clinical utility of specific cancer treatments and can inform the development of future treatment approaches. Although competing risks data are ubiquitous in cancer studies, competing risks data are infrequently recognized and competing risks data analysis is not commonly performed. Consequently, efficacy of specific treatments is often incompletely and inaccurately presented and thus study results may be interpreted improperly. In the present article, we aim to enhance awareness of competing risks data and provide a general overview and guidance on competing risks data and its analysis using cancer clinical studies.https://www.frontiersin.org/articles/10.3389/fonc.2024.1360266/fullcompeting risksdata analysisclinical utilitycancer treatmentefficacy
spellingShingle Haesook Teresa Kim
Competing risks data in clinical oncology
Frontiers in Oncology
competing risks
data analysis
clinical utility
cancer treatment
efficacy
title Competing risks data in clinical oncology
title_full Competing risks data in clinical oncology
title_fullStr Competing risks data in clinical oncology
title_full_unstemmed Competing risks data in clinical oncology
title_short Competing risks data in clinical oncology
title_sort competing risks data in clinical oncology
topic competing risks
data analysis
clinical utility
cancer treatment
efficacy
url https://www.frontiersin.org/articles/10.3389/fonc.2024.1360266/full
work_keys_str_mv AT haesookteresakim competingrisksdatainclinicaloncology