Multilevel data occur frequently in health services, population and public health, and
epidemiologic research. In such research, binary outcomes are common. Multilevel logistic …

Background and Aim Many multilevel logistic regression analyses of “neighbourhood and
health” focus on interpreting measures of associations (eg, odds ratio, OR). In contrast …

Multilevel data occurs frequently in many research areas like health services research and
epidemiology. A suitable way to analyze such data is through the use of multilevel …

The epidemiological analysis of geographical inequalities in individual outcomes is a
fundamental theme in public health research. However, many traditional studies focus on …

Modern medicine is overwhelmed by a plethora of both established risk factors and novel
biomarkers for diseases. The majority of this information is expressed by probabilistic …

Background A number of studies suggest associations between neighbourhood
characteristics and criminality during adolescence and young adulthood. However, the …

Intersectionality theory can contribute to epidemiology and public health by furthering
understanding of power dynamics driving production of health disparities, and increasing …

In this issue of the Journal, Dundas et al.(Am J Epidemiol. 2014; 180 (2): 197–207) apply a
hitherto infrequent multilevel analytical approach: multiple membership multiple …

Lifetime exposures to adverse social environments influence adult health, as do exposures
in early life. It is usual to examine the influences of school on teenage health and of adult …

Previous work identifying determinants of co-occurrence of behavioral risk factors have
focused on their association with individuals' characteristics with scant attention paid to their …