Survival Analysis UsingS

Survival Analysis

Survival analysis is a collection of statistical methods that are used to describe, explain, or predict the occurrence and timing of events. The name survival analysis stems from the fact that these methods were originally developed by biostatisticians to analyze the occurrence of deaths. However, these same methods are perfectly appropriate for a vast array of social phenomena including births...

Survival analysis.

Empirical Likelihood Approach and its Application on Survival Analysis

A number of nonparametric methods exist when studying the population and its parameters in the situation when the distribution is unknown. Some of them such as "resampling bootstrap method" are based on resampling from an initial sample. In this article empirical likelihood approach is introduced as a nonparametric method for more efficient use of auxiliary information to construct...

Bayesian Analysis of Survival Data with Spatial Correlation

Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study‎. ‎One of the most important issues in the analysis of survival data with spatial dependence‎, ‎is estimation of the parameters and prediction of the unknown values in known sites based on observations vector‎. ‎In this paper to analyze this type of survival‎, ‎Cox...

Modeling Factors Affecting Unemployment Duration Using Survival Analysis

Abstract. In many statistical studies‎, ‎we are faced with variables such as duration of unemployment‎, ‎duration of illness to death‎, ‎the lifespan of a piece‎, ‎duration of approval of a bill in the parliament‎, ‎and other similar cases‎. ‎In such studies‎, ‎the aim is to find and model the sources that affect the duration of the study period to control the mentioned period by identifying an...