Evaluation of an EnhancedModified Kalman Filter Approachfor Estimating Health Outcomes in Small Subpopulations: Data Evaluation and Methods Research

Details

• Personal Author:
  Rossen, Lauren M. ; Talih, Makram ; Patel, Priyam ; Earp, Morgan ; Parker, Jennifer
• Corporate Authors:
  National Center Health Statistics (U.S.)
• Description:
  This report describes the performance of an updated methodology to estimate health outcomes in small subpopulations using the enhanced modified Kalman filter (eMKF). The eMKF procedure borrows strength across subgroups and over time to produce more precise estimates of health outcomes in small subpopulations. This report evaluates the performance of the eMKF procedure under different scenarios based on simulated data, to quantify differences in accuracy and precision of model-based estimates compared with direct estimates.
• Subjects:
  Filtration Micropore Filters
• Source:
  Vital and Health Statistics Series
• Series:
  Vital and Health Statistics
• Document Type:
  Report
• Genre:
  Statistics
• Place as Subject:
  United States
• Pages in Document:
  64 Pages
• Volume:
  2
• Issue:
  208
• Collection(s):
  National Center for Health Statistics
• Main Document Checksum:
  urn:sha-512:89714d12572a7e402e4dd3cf3820982f8030c2512a37090592d390529d0658fad79dc3be2be102786a0c423bc1294fda27e2e6bd41685ada1c77eaf96b749b25
• Download URL:
  https://stacks.cdc.gov/view/cdc/157497/cdc_157497_DS1.pdf
• File Type:
  [PDF - 2.57 MB ]