The effect of the introduction of random censorship in the analysis of arthropod-prague survival time

Survival Analysis encompasses fundamental statistical processes in data analysis where the main variable of interest is the time for the occurrence of a given event. Its great advantage is the possibility of analyzing the data set, even with the presence of incomplete times, called censored. The obj...

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Published in:ITEGAM-JETIA Vol. 4; no. 14
Main Authors: Alana Oliveira Domingos dos Santos, Paulo José Pereira, Tainara Nadiny da Silva Pereira
Format: Journal Article
Language:English
Published: Institute of Technology and Education Galileo da Amazônia 01-06-2018
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Abstract Survival Analysis encompasses fundamental statistical processes in data analysis where the main variable of interest is the time for the occurrence of a given event. Its great advantage is the possibility of analyzing the data set, even with the presence of incomplete times, called censored. The objective of this study was to analyze the effect caused by the insertion of percentages of censors into data of total life expectancy of male and female adults of a species of arthropod-pest, which may be an important agent in the country's animal production. Using the Logrank test to compare the survival curves generated, it was possible to observe that the randomly censored data at different levels of percentages would not affect the survival curve analysis of the individuals, since they were not statistically different.
AbstractList Survival Analysis encompasses fundamental statistical processes in data analysis where the main variable of interest is the time for the occurrence of a given event. Its great advantage is the possibility of analyzing the data set, even with the presence of incomplete times, called censored. The objective of this study was to analyze the effect caused by the insertion of percentages of censors into data of total life expectancy of male and female adults of a species of arthropod-pest, which may be an important agent in the country's animal production. Using the Logrank test to compare the survival curves generated, it was possible to observe that the randomly censored data at different levels of percentages would not affect the survival curve analysis of the individuals, since they were not statistically different.
Author Alana Oliveira Domingos dos Santos
Tainara Nadiny da Silva Pereira
Paulo José Pereira
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Snippet Survival Analysis encompasses fundamental statistical processes in data analysis where the main variable of interest is the time for the occurrence of a given...
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SubjectTerms Censorship
Logrank test
Survival curves
Title The effect of the introduction of random censorship in the analysis of arthropod-prague survival time
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