Hierarchical Models for Combining Ecological and Case-control Data
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Biometrics. 2007 Mar;63(1):128-36. http://www.blackwell-synergy.com/doi/full/10.1111/j.1541-0420.2006.00673.x
Abstract:
The ecological study design suffers from a broad range of biases that result from the loss of information regarding the joint distribution of individual-level outcomes, exposures and confounders. The consequent non-identifiability of individual-level models cannot be overcome without additional information; we combine ecological data with a sample of individual-level case-control data. The focus of this paper is hierarchical models to account for between-group heterogeneity. Estimation and inference pose serious compu- tational challenges. We present a Bayesian implementation, based on a data augmentation scheme where the unobserved data are treated as auxiliary variables. The methods are illustrated with a dataset of county-specific infant mortality data from the state of North Carolina.
Subject Area:
Disease Modeling, Epidemiology
Suggested Citation:
Sebastien Haneuse and Jon Wakefield, "Hierarchical Models for Combining Ecological and Case-control Data" (May 22, 2006). UW Biostatistics Working Paper Series. Working Paper 287.
http://www.bepress.com/uwbiostat/paper287