A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon
Malmö University · Lund University · +3 more institutions
Abstract
The intraclass correlation (ICC = 0.08) informed of an appreciable clustering of individual SBP within the neighbourhoods, showing that 8% of the total individual differences in SBP occurred at the neighbourhood level and might be attributable to contextual neighbourhood factors or to the different composition of neighbourhoods.
The statistical idea of clustering emerges as appropriate for quantifying "contextual phenomena" that is of central relevance in social epidemiology. Both concepts convey that people from the same neighbourhood are more similar to each other than to people from different neighbourhoods with respect to the health outcome variable.
Citation impact
- FWCI
- 14.51
- Percentile
- 100%
- References
- 58
Authors
5- JMJuan MerloCorresponding
Malmö University, Lund University
- BCBasile Chaix
National Institute of Health
- MYMin Yang
Queen Mary University of London
- JLJohn Lynch
University of Michigan
- LRLennart Råstam
Malmö University, Lund University
Topics & keywords
- Neighbourhood (mathematics)
- Intraclass correlation
- Phenomenon
- Multilevel model
- Social epidemiology
- Cluster analysis
- Conceptual framework
- Epidemiology
- Good health and well-being