The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology.

By J. Michael Oakes. Social Science & Medicine (1967), 2004

761 citations recorded by the source corpus.

Subfields: Health, Sociology and Political Science, Transportation

View Paper: https://www.semanticscholar.org/paper/df02462e958560358357bf5fbc8e1e3349ecf131

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Citations in the corpus

To GEE or Not to GEE: Comparing Population Average and Mixed Models for Estimating the Associations Between Neighborhood Risk Factors and Health (2010, methodology): “The results of this analysis are presented in Figure 2, which depicts (1) the true marginal probability of the outcome, by Xij, P(Yij 1 Xij), (2) the best approximation based on a simple logit-linear model and independence working correlation model, (3) the corresponding GEE estimate of this approxi”
Propensity Score Weighting for Causal Inference with Clustered Data (2017, methodology): “Oakes [18] and VanderWeele [19] used multi-level models for the potential outcomes to draw causal conclusions in neighborhood effect studies.”
Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009, methodology): “In practice, if selection bias cannot be eliminated through study design, etiological analysis should be applied (Oakes, 2004).”
Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. (2005, background): “On some occasions, difficult questions arise, such as “Is it worthwhile to study the association between neighborhood characteristics and health when the neighborhood variation is very small?” (4).”
A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health. (2008, background): “These limitations have led some researchers to call for increasing the use of randomized trials in the study of the effects of residential environments on health (2).”
Does Residential Density Increase Walking and Other Physical Activity? (2007, background): “This study is novel in examining a deliberately diverse range of physical environments but also examining those diverse areas with similar or exchangeable populations, mitigating the so-called selection or compositional biases (Oakes, 2004; Oakes and Johnson, 2006).”