Survival analysis in plant pathology

Survival analysis is applied when the time until the occurrence of an event is the object of interest. Such data are routinely collected in plant pathology whereas application of methods of survival analysis is uncommon. Basic concepts in survival analysis for use in plant pathology such as Kaplan-M...

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Autores principales:	Nunes Nesi,Cristiano, Emiko Shimakura,Silvia, Ribeiro Junior,Paulo Justiniano, May De Mio,Louise Larissa
Lenguaje:	English
Publicado:	Universidad de Tarapacá. Facultad de Ciencias Agronómicas 2013
Materias:	time-occurrence Kaplan-Meier Cox regression
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-34292013000200016
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spelling	oai:scielo:S0718-342920130002000162014-09-09Survival analysis in plant pathologyNunes Nesi,CristianoEmiko Shimakura,SilviaRibeiro Junior,Paulo JustinianoMay De Mio,Louise Larissa time-occurrence Kaplan-Meier Cox regression Survival analysis is applied when the time until the occurrence of an event is the object of interest. Such data are routinely collected in plant pathology whereas application of methods of survival analysis is uncommon. Basic concepts in survival analysis for use in plant pathology such as Kaplan-Meier methods, log-rank test and Cox proportional hazards models are introduced and applied estimating the effects of cultivars on the survival times of brown rot symptoms and on the instantaneous risk of expressing symptoms in a hypothetical study.info:eu-repo/semantics/openAccessUniversidad de Tarapacá. Facultad de Ciencias AgronómicasIdesia (Arica) v.31 n.2 20132013-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-34292013000200016en10.4067/S0718-34292013000200016
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	time-occurrence Kaplan-Meier Cox regression
spellingShingle	time-occurrence Kaplan-Meier Cox regression Nunes Nesi,Cristiano Emiko Shimakura,Silvia Ribeiro Junior,Paulo Justiniano May De Mio,Louise Larissa Survival analysis in plant pathology
description	Survival analysis is applied when the time until the occurrence of an event is the object of interest. Such data are routinely collected in plant pathology whereas application of methods of survival analysis is uncommon. Basic concepts in survival analysis for use in plant pathology such as Kaplan-Meier methods, log-rank test and Cox proportional hazards models are introduced and applied estimating the effects of cultivars on the survival times of brown rot symptoms and on the instantaneous risk of expressing symptoms in a hypothetical study.
author	Nunes Nesi,Cristiano Emiko Shimakura,Silvia Ribeiro Junior,Paulo Justiniano May De Mio,Louise Larissa
author_facet	Nunes Nesi,Cristiano Emiko Shimakura,Silvia Ribeiro Junior,Paulo Justiniano May De Mio,Louise Larissa
author_sort	Nunes Nesi,Cristiano
title	Survival analysis in plant pathology
title_short	Survival analysis in plant pathology
title_full	Survival analysis in plant pathology
title_fullStr	Survival analysis in plant pathology
title_full_unstemmed	Survival analysis in plant pathology
title_sort	survival analysis in plant pathology
publisher	Universidad de Tarapacá. Facultad de Ciencias Agronómicas
publishDate	2013
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-34292013000200016
work_keys_str_mv	AT nunesnesicristiano survivalanalysisinplantpathology AT emikoshimakurasilvia survivalanalysisinplantpathology AT ribeirojuniorpaulojustiniano survivalanalysisinplantpathology AT maydemiolouiselarissa survivalanalysisinplantpathology
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Survival analysis in plant pathology

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