Use and Misuse of Statistical Significance in Survival Analyses

ABSTRACT In most preclinical disease models, survival analyses are the gold standard for measuring the efficacy of medical interventions such as therapeutics or vaccines. In these analyses, treatment regimens that promote the survival and/or reduce the morbidity of experimental subjects (e.g., mice)...

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Autores principales:	Yoichi Furuya, Danushka K. Wijesundara, Teresa Neeman, Dennis W. Metzger
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2014
Materias:	Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/165146ec3b1e4f5ea6ddc034184ed8a3
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spelling	oai:doaj.org-article:165146ec3b1e4f5ea6ddc034184ed8a32021-11-15T15:45:14ZUse and Misuse of Statistical Significance in Survival Analyses10.1128/mBio.00904-142150-7511https://doaj.org/article/165146ec3b1e4f5ea6ddc034184ed8a32014-05-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.00904-14https://doaj.org/toc/2150-7511ABSTRACT In most preclinical disease models, survival analyses are the gold standard for measuring the efficacy of medical interventions such as therapeutics or vaccines. In these analyses, treatment regimens that promote the survival and/or reduce the morbidity of experimental subjects (e.g., mice) are tested for efficacy. Although these analyses appear to be relatively straightforward, there are associated caveats regarding interpretation of the results that we wish to discuss in this editorial. Of particular concern is overinterpretation of the biological significance of survival data based on statistical significance rather than durability of protection.Yoichi FuruyaDanushka K. WijesundaraTeresa NeemanDennis W. MetzgerAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 5, Iss 2 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 Yoichi Furuya Danushka K. Wijesundara Teresa Neeman Dennis W. Metzger Use and Misuse of Statistical Significance in Survival Analyses
description	ABSTRACT In most preclinical disease models, survival analyses are the gold standard for measuring the efficacy of medical interventions such as therapeutics or vaccines. In these analyses, treatment regimens that promote the survival and/or reduce the morbidity of experimental subjects (e.g., mice) are tested for efficacy. Although these analyses appear to be relatively straightforward, there are associated caveats regarding interpretation of the results that we wish to discuss in this editorial. Of particular concern is overinterpretation of the biological significance of survival data based on statistical significance rather than durability of protection.
format	article
author	Yoichi Furuya Danushka K. Wijesundara Teresa Neeman Dennis W. Metzger
author_facet	Yoichi Furuya Danushka K. Wijesundara Teresa Neeman Dennis W. Metzger
author_sort	Yoichi Furuya
title	Use and Misuse of Statistical Significance in Survival Analyses
title_short	Use and Misuse of Statistical Significance in Survival Analyses
title_full	Use and Misuse of Statistical Significance in Survival Analyses
title_fullStr	Use and Misuse of Statistical Significance in Survival Analyses
title_full_unstemmed	Use and Misuse of Statistical Significance in Survival Analyses
title_sort	use and misuse of statistical significance in survival analyses
publisher	American Society for Microbiology
publishDate	2014
url	https://doaj.org/article/165146ec3b1e4f5ea6ddc034184ed8a3
work_keys_str_mv	AT yoichifuruya useandmisuseofstatisticalsignificanceinsurvivalanalyses AT danushkakwijesundara useandmisuseofstatisticalsignificanceinsurvivalanalyses AT teresaneeman useandmisuseofstatisticalsignificanceinsurvivalanalyses AT denniswmetzger useandmisuseofstatisticalsignificanceinsurvivalanalyses
_version_	1718427567722070016

Use and Misuse of Statistical Significance in Survival Analyses

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