Geometric method of determining hazard for the continuos survival function

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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.

Tytuł
Geometric method of determining hazard for the continuos survival function
Twórca
Bieszk-Stolorz Beata ORCID 0000-0001-8086-9037
Słowa kluczowe
non proportional hazard; continuos survival function; geometric method; unemployment
Słowa kluczowe
metoda geometryczna; bezrobocie
Data
2015
Typ zasobu
artykuł
Identyfikator zasobu
DOI 10.1515/foli-2015-0031
Źródło
Folia Oeconomica Stetinensia, 2015, 1 nr 15 (23), s.22-33.
Język
angielski
Prawa autorskie
CC BY-SA CC BY-SA
Kategorie
Publikacje pracowników US
Data udostępnienia4 lip 2022, 15:09:33
Data mod.4 lip 2022, 15:09:33
DostępPubliczny
Aktywnych wyświetleń0