Assessing the impact of mobility on health: implications for life course epidemiology (Editorial)

Leyland, A.H. (2005) Assessing the impact of mobility on health: implications for life course epidemiology (Editorial). Journal of Epidemiology and Community Health, 59(2), pp. 90-91. (doi:10.1136/jech.2004.027466)

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The need to use multilevel models when analysing hierarchical data—to take account of the correlation in the data when estimating regression coefficients—is widely recognised in health research.1,2 The advantages afforded by multilevel models—including the ability to partition variation to determine the relative importance of different levels of the hierarchy, to test hypotheses about variation, and to attempt to separate the influences of context and composition—are also well reported.3 The complexity of the real world means that our data are not always drawn from strict hierarchies.4 In this issue of the journal Chandola et al consider a multiple membership model—a situation in which individuals may belong to more than one unit at a higher level.5 Their data follow up individuals over nine years during which time they may belong to several households and may move from one area to another.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Leyland, Professor Alastair
Authors: Leyland, A.H.
Subjects:R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > MRC/CSO SPHSU
College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Centre for Population and Health Sciences
Journal Name:Journal of Epidemiology and Community Health

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