A Multilevel Model of Sudden Infant Death Syndrome in England and Wales
Bibliographic Data
| ID | 4139119 |
|---|---|
| Authors | Ian H Langford (University of East Anglia, corresponding author), Graham Bentham (University of East Anglia, corresponding author) |
| Year | 1997 |
| Volume | 29 |
| Issue | 4 |
| Pages | 629-640 |
| Publication date | 1997-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a290629 |
| PMID | 12292487 |
| OpenAlex | W2083433042 |
| Language | EN |
| Citations received | 4 |
| References cited | 16 |
It has previously been shown that there is a significant association between mortality from sudden infant death syndrome (SIDS) and rates of long-term migration between local authority districts in England and Wales. This evidence supports the theory that exposure to infections, mediated by population mixing, may be an important factor in many cases of SIDS. In this paper, multilevel modelling is used to examine the variability in SIDS deaths at different geographical scales, namely district, county, and regional levels. Given the population-mixing hypothesis, it is possible that high levels of population mixing in one district will have an effect on the spread of infections in an adjacent district, and the rates for individual districts will not be spatially independent of each other. Factors such as climate varying at regional scale may also be important. A log-linear multilevel model is developed to examine these issues, and the discussion focuses on the methodological issues raised by the analysis such as appropriate multilevel structure, methods of estimation, dispersion of residuals, and significance of parameter estimates
Cartography · Econometrics · Economics · Estimation · Geography · Multilevel model · Multilevel modelling · Population · Sociology · Statistics · COVID-19 epidemiological studies · Demography · Health disparities and outcomes · Mathematics · Urban, Neighborhood, and Segregation Studies
Empirical Bayes Estimates of Age-Standardized Relative Risks for Use in Disease Mapping
Approximate Inference in Generalized Linear Mixed Models
Bayes Estimates for the Linear Model
Multilevel Statistical Models
Sudden infant death syndrome--insights from epidemiological research
Sudden infant death syndrome
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,15 |
| Citation span | 1999 - 2011 (13) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |