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Cited 146 time in webofscience Cited 156 time in scopus
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OASIS: Online Application for the Survival Analysis of Lifespan Assays Performed in Aging Research

Title
OASIS: Online Application for the Survival Analysis of Lifespan Assays Performed in Aging Research
Authors
Jae-Seong YangHyun-Jun NamMihwa SeoSeong Kyu HanYonghwan ChoiNam, HGLee, SJKim, S
POSTECH Authors
Nam, HGLee, SJKim, S
Date Issued
Aug-2011
Publisher
PUBLIC LIBRARY SCIENCE
Abstract
Background: Aging is a fundamental biological process. Characterization of genetic and environmental factors that influence lifespan is a crucial step toward understanding the mechanisms of aging at the organism level. To capture the different effects of genetic and environmental factors on lifespan, appropriate statistical analyses are needed. Methodology/Principal Findings: We developed an online application for survival analysis (OASIS) that helps conduct various novel statistical tasks involved in analyzing survival data in a user-friendly manner. OASIS provides standard survival analysis results including Kaplan-Meier estimates and mean/median survival time by taking censored survival data. OASIS also provides various statistical tests including comparison of mean survival time, overall survival curve, and survival rate at specific time point. To visualize survival data, OASIS generates survival and log cumulative hazard plots that enable researchers to easily interpret their experimental results. Furthermore, we provide statistical methods that can analyze variances among survival datasets. In addition, users can analyze proportional effects of risk factors on survival. Conclusions/Significance: OASIS provides a platform that is essential to facilitate efficient statistical analyses of survival data in the field of aging research. Web application and a detailed description of algorithms are accessible from http://sbi.postech.ac.kr/oasis.
URI
http://oasis.postech.ac.kr/handle/2014.oak/17160
DOI
10.1371/JOURNAL.PONE.0023525
ISSN
1932-6203
Article Type
Article
Citation
PLOS ONE, vol. 6, no. 8, 2011-08
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 KIM, SANGUK
Dept of Life Sciences
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