Outliers in Survival Analysis

Alphanumeric Journal

DurduKarasoy¹  NurayTuncer² 

[1] Hacettepe University, Department of Statistics, Faculty of Science;Ministry Of Finance The Presidency of Tax Inspection Board, Turkish Tax Inspection Board;

关键词: Influential Observations;    Outliers;    Residuals;    Survival Analysis;    Survival Models;   

DOI  :  http://dx.doi.org/10.17093/aj.2015.3.2.5000149382

来源: DOAJ

【 摘 要 】

Survival analysis is a collection of statistical methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest. Outliers in survival anaysis calculated differently from classical regression analysis. Outlier detection methods in survival analysis are commonly carried out based on residuals and residual analysis. In survival analysis, there are different types of residuals that are Cox-Snell, Martingale, Schoenfeld, Deviance, Log-odds and Normal deviance residuals. There are methods which are DFBETA, LMAX and Likelihood Displacement values for detecting influential observations. The residuals are analyzed during the study which is applied on a stomach cancer data set and the outliers are detected. After omitting these outliers, model is set up again and results were found better.

【 授权许可】

Unknown