Welcome to CDC stacks |
Stacks Logo
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.
Clear All Simple Search
Advanced Search
Applying the compound Poisson process model to the reporting of injury-related mortality rates
  • Published Date:
    Feb 16 2007
  • Source:
    Epidemiol Perspect Innov. 2007; 4:1.
Filetype[PDF-279.65 KB]

  • Alternative Title:
    Epidemiol Perspect Innov
  • Personal Author:
  • Description:
    Injury-related mortality rate estimates are often analyzed under the assumption that case counts follow a Poisson distribution. Certain types of injury incidents occasionally involve multiple fatalities, however, resulting in dependencies between cases that are not reflected in the simple Poisson model and which can affect even basic statistical analyses. This paper explores the compound Poisson process model as an alternative, emphasizing adjustments to some commonly used interval estimators for population-based rates and rate ratios. The adjusted estimators involve relatively simple closed-form computations, which in the absence of multiple-case incidents reduce to familiar estimators based on the simpler Poisson model. Summary data from the National Violent Death Reporting System are referenced in several examples demonstrating application of the proposed methodology.

  • Subject:
  • Document Type:
  • Collection(s):
  • Main Document Checksum:
No Related Documents.
You May Also Like: