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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2021
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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. |
format | Online Article Text |
id | pubmed-8821780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT indrayanabhaya survivalanalysiswherewhywhatandhow AT tripathichandrabhushan survivalanalysiswherewhywhatandhow |