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The use of logit models to investigate social and biological factors in infant mortality. IV: Post‐neonatal mortality
Author(s) -
Machin D.,
Murrells T. J.,
Catford J. C.,
Smith T. M. F.
Publication year - 1986
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780050206
Subject(s) - logit , logistic regression , parity (physics) , neonatal mortality , demography , infant mortality , social class , medicine , statistics , econometrics , mathematics , economics , population , sociology , physics , particle physics , market economy
Infant mortality data for England and Wales, cross‐classified by mother's age, parity and social class have been published on two occasions, the first giving the relevant data for 1949/50, the second for 1975, some 25 years later. Published analyses of these separate data sets have been based on graphical and tabular analysis. This paper describes the application of logit models using the methodology presented by Murrells et al. 1 to investigate post‐neonatal deaths.