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Survival Analysis: Where, Why, What and How?

Durations of any event, such as duration of hospitalization, is usually found to have a highly skewed distribution and incomplete values due to dropouts and limited follow-up. The usual methods of statistical analysis are, therefore, not applicable. The method of survival analysis is a nonparametric...

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Detalles Bibliográficos
Autores principales: Indrayan, Abhaya, Tripathi, Chandra Bhushan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821780/
https://www.ncbi.nlm.nih.gov/pubmed/34047720
http://dx.doi.org/10.1007/s13312-022-2425-5
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author Indrayan, Abhaya
Tripathi, Chandra Bhushan
author_facet Indrayan, Abhaya
Tripathi, Chandra Bhushan
author_sort Indrayan, Abhaya
collection PubMed
description Durations of any event, such as duration of hospitalization, is usually found to have a highly skewed distribution and incomplete values due to dropouts and limited follow-up. The usual methods of statistical analysis are, therefore, not applicable. The method of survival analysis is a nonparametric method and is designed to overcome these problems. Survival is a generic term and is used for any time-to-event data. The entire survival pattern at different points in time is studied by the Kaplan-Meier method under certain conditions. Logrank method is used to compare survival pattern in two or more groups. Hazard is the rate of occurrence of an event per unit of time and studied by Cox method. The concept of survival and all these methods of survival analysis are briefly discussed in this short note in a non-mathematical format for medical audience.
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spelling pubmed-88217802022-02-08 Survival Analysis: Where, Why, What and How? Indrayan, Abhaya Tripathi, Chandra Bhushan Indian Pediatr Research Methodology Series Durations of any event, such as duration of hospitalization, is usually found to have a highly skewed distribution and incomplete values due to dropouts and limited follow-up. The usual methods of statistical analysis are, therefore, not applicable. The method of survival analysis is a nonparametric method and is designed to overcome these problems. Survival is a generic term and is used for any time-to-event data. The entire survival pattern at different points in time is studied by the Kaplan-Meier method under certain conditions. Logrank method is used to compare survival pattern in two or more groups. Hazard is the rate of occurrence of an event per unit of time and studied by Cox method. The concept of survival and all these methods of survival analysis are briefly discussed in this short note in a non-mathematical format for medical audience. Springer India 2021-05-28 2022 /pmc/articles/PMC8821780/ /pubmed/34047720 http://dx.doi.org/10.1007/s13312-022-2425-5 Text en © Indian Academy of Pediatrics 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Methodology Series
Indrayan, Abhaya
Tripathi, Chandra Bhushan
Survival Analysis: Where, Why, What and How?
title Survival Analysis: Where, Why, What and How?
title_full Survival Analysis: Where, Why, What and How?
title_fullStr Survival Analysis: Where, Why, What and How?
title_full_unstemmed Survival Analysis: Where, Why, What and How?
title_short Survival Analysis: Where, Why, What and How?
title_sort survival analysis: where, why, what and how?
topic Research Methodology Series
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821780/
https://www.ncbi.nlm.nih.gov/pubmed/34047720
http://dx.doi.org/10.1007/s13312-022-2425-5
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