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Analysis of censored data

Analyzing events over time is often complicated by incomplete, or censored, observations. Special non-parametric statistical methods were developed to overcome difficulties in summarizing and comparing censored data. Life-table (actuarial) method and Kaplan-Meier method are described with an explana...

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Detalles Bibliográficos
Autores principales: Lucijanic, Marko, Petrovecki, Mladen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Croatian Society of Medical Biochemistry and Laboratory Medicine 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062335/
https://www.ncbi.nlm.nih.gov/pubmed/22838181
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author Lucijanic, Marko
Petrovecki, Mladen
author_facet Lucijanic, Marko
Petrovecki, Mladen
author_sort Lucijanic, Marko
collection PubMed
description Analyzing events over time is often complicated by incomplete, or censored, observations. Special non-parametric statistical methods were developed to overcome difficulties in summarizing and comparing censored data. Life-table (actuarial) method and Kaplan-Meier method are described with an explanation of survival curves. For the didactic purpose authors prepared a workbook based on most widely used Kaplan-Meier method. It should help the reader understand how Kaplan-Meier method is conceptualized and how it can be used to obtain statistics and survival curves needed to completely describe a sample of patients. Log-rank test and hazard ratio are also discussed.
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spelling pubmed-40623352014-06-23 Analysis of censored data Lucijanic, Marko Petrovecki, Mladen Biochem Med (Zagreb) Lessons in Biostatistics Analyzing events over time is often complicated by incomplete, or censored, observations. Special non-parametric statistical methods were developed to overcome difficulties in summarizing and comparing censored data. Life-table (actuarial) method and Kaplan-Meier method are described with an explanation of survival curves. For the didactic purpose authors prepared a workbook based on most widely used Kaplan-Meier method. It should help the reader understand how Kaplan-Meier method is conceptualized and how it can be used to obtain statistics and survival curves needed to completely describe a sample of patients. Log-rank test and hazard ratio are also discussed. Croatian Society of Medical Biochemistry and Laboratory Medicine 2012-06-15 /pmc/articles/PMC4062335/ /pubmed/22838181 Text en © Copyright by Croatian Society of Medical Biochemistry and Laboratory Medicine. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc-nd/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Lessons in Biostatistics
Lucijanic, Marko
Petrovecki, Mladen
Analysis of censored data
title Analysis of censored data
title_full Analysis of censored data
title_fullStr Analysis of censored data
title_full_unstemmed Analysis of censored data
title_short Analysis of censored data
title_sort analysis of censored data
topic Lessons in Biostatistics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062335/
https://www.ncbi.nlm.nih.gov/pubmed/22838181
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