Project R-4867

Uncertainty in spatial health analysis due to missingness and aggregation effects (Research)

In this project, new methods will be developed for the modeling and analysis of small area health data from various levels of aggregation. In particular, we are interested in the ability of different aggregation levels to contribute to unobserved effects at other levels. An example of this is where people are being questioned in some regions but not in others. In such a situation , a reasonable inference at regional level will be created for the regions with the present individuals, but we also wich to create inferences about areas where no people were interviewed. This is a form of missing data problems with aggregation.

26 September 2013 - 31 January 2017