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Brass Relational Logit Model

The Brass relational logit model is a two-parameter system for representing and smoothing a life table by relating it to a chosen standard. Introduced by William Brass in 1971, it transforms the survivorship function with a logit and posits that the logits of any two life tables are linearly related, so that an entire age pattern of mortality can be summarized by just two parameters — a level parameter and a parameter governing the balance of childhood versus adult mortality.

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Brass Relational Logit Life-Table System

Taksonoomiline meetodikirje · regression-model / demography

Brass, W. (1971). On the scale of mortality. In W. Brass (Ed.), Biological Aspects of Demography. Taylor & Francis / Barnes & Noble. · ISBN 9780850660425
Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. · ISBN 9781557864512

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Same method familyCoale-Trussell Modelmachine-suggested · Relational suggestion, not evidence.Same method familyGompertz-Makeham Law of Mortalitymachine-suggested · Relational suggestion, not evidence.Same method familyLee-Carter Modelmachine-suggested · Relational suggestion, not evidence.Used in the same domainLife Tablemachine-suggested · Relational suggestion, not evidence.