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Potential pitfalls in interpreting maps of stabilized rates
L H Moulton1, B Foxman, R A Wolfe
1Department of International Health and Biostatistics, School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD 21205.
Epidemiology (Cambridge, Mass.)
|May 1, 1994
Summary
This study applies a "stabilized" rate calculation method to national end-stage renal disease data, improving disease mapping accuracy. Challenges in interpreting these stabilized rates due to data variations are also discussed.
Area of Science:
- Epidemiology
- Biostatistics
- Geographic Information Systems (GIS)
Background:
- Recent advancements in disease mapping utilize area-specific rate stabilization.
- Incorporating broader data improves the reliability of localized disease metrics.
Purpose of the Study:
- To describe and apply a "stabilized" rate calculation method to national end-stage renal disease (ESRD) data.
- To identify potential interpretation challenges associated with this statistical approach.
Main Methods:
- The study employs a rate stabilization technique, similar to that used by the Environmental Protection Agency (EPA) for mortality mapping.
- This method is applied to analyze national ESRD incidence or mortality data.
Main Results:
- Application of the stabilized rate method to ESRD data is demonstrated.
- Potential interpretation difficulties were identified, including issues with "shrinkage," skewed distributions, varying denominators, and population density differences.
Conclusions:
- Stabilized rate calculations offer a valuable tool for disease mapping, enhancing the precision of geographic health data.
- Careful consideration of statistical artifacts is crucial for accurate interpretation of stabilized disease rates across different populations and regions.