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Summary: Online application for survival analysis (OASIS) is a one-stop tool for various statistical tasks involved in analyzing survival data in a user-friendly manner.OASIS provides a uniform platform that is an essential application to facilitate efficient statistical analyses of survival data in the ageing field.: The statistical features of OASIS include the calculation of Kaplan-Meier …
OASIS has been updated! Click HERE to go NEW version of OASIS and cite below paper. Han SK, Lee D, Lee H, Kim D, et al. 2016 OASIS 2: online application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research. Oncotarget 11269.
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: Online Application for the Survival Analysis of Lifespan Assays Performed in Aging Research Jae-Seong Yang1, Hyun-Jun Nam1, Mihwa Seo1, Seong Kyu Han2, Yonghwan Choi1, Hong Gil Nam1,2 …
OASIS, a web service for survival analysis . OASIS has become a popular online platform for experimental biologists in the field of aging research who need convenient access to statistical tools for the analysis of survival data including lifespan. After 5 years of extensive OASIS usage, it has become apparent that more features
Online application for survival analysis (OASIS) has served as a popular and convenient platform for the statistical analysis of various survival data, particularly in the field of aging research. With the recent advances in the fields of aging research that deal with complex survival data, we noticed a need for updates to the current version of OASIS.
1 OASIS: Online Application for the Survival Analysis of Lifespan Assays Performed in Aging Research Supplementary Information Supplementary Methods Supplementary References
Finally, as a subsidiary work, I developed online application for survival analysis (OASIS 2; https://sbi.postech.ac.kr/oasis2), extended statistical tools for the comparison of diverse survival phenotype data created from model organism or human studies.
: An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast Cancer Res Treat. 2010; 123(3): 725–31. PubMed Abstract | Publisher Full Text ; 7.
Description. Performs survival analysis and generates a Kaplan-Meier survival plot. In clinical trials the investigator is often interested in the time until participants in a study present a specific event or endpoint. This event usually is a clinical outcome such as death, disappearance of a tumor, etc.
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