title: OASIS: online application for the survival analysis of lifespan assays performed in aging research.
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.
  
  
  RESULTS
  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
  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.
authors.affiliation: School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, South Korea.
authors.forename: Jae-Seong
authors.initials: JS
authors.lastname: Yang
authors.forename: Hyun-Jun
authors.initials: HJ
authors.lastname: Nam
authors.forename: Mihwa
authors.initials: M
authors.lastname: Seo
authors.forename: Seong Kyu
authors.initials: SK
authors.lastname: Han
authors.forename: Yonghwan
authors.initials: Y
authors.lastname: Choi
authors.forename: Hong Gil
authors.initials: HG
authors.lastname: Nam
authors.forename: Seung-Jae
authors.initials: SJ
authors.lastname: Lee
authors.forename: Sanguk
authors.initials: S
authors.lastname: Kim
mesh_terms: D000375:Aging / Q000235:genetics / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D017173:Caenorhabditis elegans / Q000235:genetics / Q000502:physiology; D029742:Caenorhabditis elegans Proteins / Q000235:genetics; D019295:Computational Biology / Q000379:methods* / Q000706:statistics & numerical data; D051858:Forkhead Transcription Factors; D006801:Humans; D020407:Internet; D053208:Kaplan-Meier Estimate; D008017:Life Expectancy; D008136:Longevity / Q000235:genetics / Q000502:physiology*; D008954:Models, Biological; D009154:Mutation; D016016:Proportional Hazards Models; D034622:RNA Interference; D011972:Receptor, Insulin / Q000235:genetics; D012307:Risk Factors; D012984:Software; D016019:Survival Analysis; D014157:Transcription Factors / Q000235:genetics
chemical_list: D029742:Caenorhabditis elegans Proteins; D051858:Forkhead Transcription Factors; D014157:Transcription Factors; C108831:daf-16 protein, C elegans; C107483:DAF-2 protein, C elegans; D011972:Receptor, Insulin