Geometric Method of Determining Hazard for the Continuous Survival Function

• Authors: Beata Bieszk-Stolorz
• Languages of publication: EN

Abstracts

EN

A basic assumption in proportional intensity models is the proportionality, that each covariate has a multiplicative effect on the intensity. The proportionality assumption is a strong assumption which is not always necessarily reasonable and thus needs to be checked. The survival analysis often employs graphic methods to study hazard proportionality. In this paper a geometrical method for determining the value of the hazard function on the basis of the continuous survival function was proposed. This method can be used to compare the intensity of the event for objects belonging to two subgroups of the analysed population. If we have graphs of survival function, then an analysis of the tangents at a specific time and their roots enables us to find the intensity and to study the relationship between them for different subgroups. This method can also be useful when studying the proportionality of hazard. It is a condition for the use of the Cox proportional hazards model. The above method was used to evaluate the effect of unemployment benefit and gender on unemployment and on the intensity of finding a job.

Keywords

EN

non-proportional hazard; continuous survival function; geometric method; unemployment

• Publisher: Sciendo
• Journal: Folia Oeconomica Stetinensia
• Year: 2015
• Volume: 15
• Issue: 1
• Pages: 22-33

Dates

published

2015-06-01

received

2015-01-23

accepted

2015-04-29

online

2015-12-30

Contributors

author

Beata Bieszk-Stolorz

• University of Szczecin Department of Econometrics and Statistics Faculty of Economics and Management Mickiewicza 64, 71-101 Szczecin, Poland

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Identifiers

DOI

10.1515/foli-2015-0031