In estimating spatial disease patterns, as well as in related assessments of environmental
equity, regional morbidity and mortality rate maps are widely used. Hierarchical Bayes …

Models of excess mortality with random effects were used to estimate regional variation in
relative or net survival of cancer patients. Statistical inference for these models based on the …

We present two models for the short-term prediction of the number of deaths arising from
common cancers in the United States. The first is a local linear model, in which the slope of …

Maps of regional morbidity and mortality rates are useful tools in determining spatial patterns
of disease. Combined with sociodemographic census information, they also permit …

It is common in public health research to have high-dimensional, multivariate, spatially
referenced data representing summaries of geographic regions. Often, it is desirable to …

Background Multilevel and spatial models are being increasingly used to obtain substantive
information on area-level inequalities in cancer survival. Multilevel models assume …

A mixed model is proposed for the analysis of geographic variability in mortality rates. In
addition to demographic parameters and random geographic parameters, the model …

Health departments are seeking new ways to determine when and where limited resources
should be allocated to achieve maximum benefit for the population. In this work, we …

The ongoing spread of spatial analysis techniques for small areas has facilitated the
publication of mortality and morbidity Atlases based on time periods that group information …

The lifestyles and backgrounds of individuals across the United States differ widely. Some of
these differences are easily measurable (ethnicity, age, income, etc.) while others are not …