The impact of data suppression on local mortality rates: the case of CDC WONDER.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 24922161.
- Also identified by DOI 10.2105/AJPH.2014.301900 and PMC identifier 4103252.
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Abstract
CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) is the nation's primary data repository for health statistics. Before WONDER data are released to the public, data cells with fewer than 10 case counts are suppressed. We showed that maps produced from suppressed data have predictable geographic biases that can be removed by applying population data in the system and an algorithm that uses regional rates to estimate missing data. By using CDC WONDER heart disease mortality data, we demonstrated that effects of suppression could be largely overcome.
Medical subject headings
- Centers for Disease Control and Prevention, U.S.
- Databases, Factual
- Mortality