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Parametric modelling of neonatal mortality in relation to size at birth
Statistics in medicine, 2001-08, Vol.20 (16), p.2455-2466
Cheung, Yin Bun
Yip, Paul S. F.
Karlberg, Johan P. E.
2001
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Cheung, Yin Bun
Yip, Paul S. F.
Karlberg, Johan P. E.
Titel
Parametric modelling of neonatal mortality in relation to size at birth
Ist Teil von
Statistics in medicine, 2001-08, Vol.20 (16), p.2455-2466
Ort / Verlag
Chichester, UK: John Wiley & Sons, Ltd
Erscheinungsjahr
2001
Quelle
Wiley Online Library All Journals
Beschreibungen/Notizen
We use a richly parameterized model to analyse the effects of shortness and thinness at birth on neonatal mortality in Swedish live‐born singletons. The model captures the hazard of neonatal mortality according to the function α×exp(−γ×t)+δ, where t represents age. Covariates are allowed to simultaneously influence the initial excess hazard, the rate of decay, and the long‐term hazard. Among term newborns, birth length for gestational age had a stronger effect on the long‐term hazard and a weaker effect on the initial excess hazard than the Ponderal index. The initial excess hazard associated with a low Ponderal index tended to decay quickly. Among preterm newborns, a higher birth length for gestational age was associated with lower initial and long‐term hazards, and with a faster rate of decay of the initial excess hazard. In contrast, the Ponderal index was not associated with the long‐term hazard. We discuss the interpretability of the model and its potential use in neonatology and medical demography. We also compare the model to a Cox model with time‐dependent covariates. Copyright © 2001 John Wiley & Sons, Ltd.
Sprache
Englisch
Identifikatoren
ISSN: 0277-6715
eISSN: 1097-0258
DOI: 10.1002/sim.858
Titel-ID: cdi_proquest_miscellaneous_71106187
Format
–
Schlagworte
Analysis of Variance
,
Biological and medical sciences
,
Birth Certificates
,
Birth Weight
,
Body Constitution
,
Body Height
,
Body Mass Index
,
Computerized, statistical medical data processing and models in biomedicine
,
Embryonic and Fetal Development
,
Female
,
Gestational Age
,
Humans
,
Infant Mortality
,
Infant, Low Birth Weight
,
Infant, Newborn
,
Likelihood Functions
,
Male
,
Medical sciences
,
Medical statistics
,
Models, Statistical
,
Proportional Hazards Models
,
Registries
,
Risk Factors
,
Sex Characteristics
,
Sex Distribution
,
Survival Analysis
,
Sweden - epidemiology
,
Time Factors
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