The Attractiveness of an Additive Hazard Model: An Example from Medical Demography

Øystein Kravdal
Additional contact information
Øystein Kravdal: University of Oslo

European Journal of Population, 1997, vol. 13, issue 1, No 3, 33-47

Abstract: Abstract With the intention of studying sociodemographic differentials in theelevated mortality from cancer, a mixed additive-multiplicativecontinuous-time hazard model with categorical covariates is suggested. Thismodel is a simple and plausible extension of the multiplicative hazard modeldemographers are well acquainted with. As an empirical example, survival fromprostate cancer among Norwegian men is examined on the basis of individualregister and census data. The model has some advantages compared to themodels based on an additive mortality structure that have previously beenused in studies of cancer survival. In other demographic research areas, itcould be an interesting alternative to the commonly employed multiplicativehazard model.

Keywords: additive hazard model; multiplicative hazard model; mortality from cancer; sociodemographic differentials (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1023/A:1005768425808 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eurpop:v:13:y:1997:i:1:d:10.1023_a:1005768425808

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10680

DOI: 10.1023/A:1005768425808

Access Statistics for this article

European Journal of Population is currently edited by Helga A.G. de Valk

More articles in European Journal of Population from Springer, European Association for Population Studies
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().