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Design and estimation for the National Health Interview Survey, 2006-2015

Public Domain
File Language:
English


Details

  • Personal Author:
  • Corporate Authors:
    National Center for Health Statistics (U.S.)
  • Description:
    DHHS publication ; no. (PHS) 2014–1365

    Objectives: This report presents an overview, a detailed description of the sample design features, and estimation structures for the 2006–2015 National Health Interview Survey (NHIS). It fulfills the same role for the current 2006–2015 NHIS design as NCHS Series 2, No. 130, ‘‘Design and Estimation for the National Health Interview Survey, 1995–2004’’ provided for the previous design, which was extended through 2005.

    Methods: The 2006–2015 NHIS sample design uses cost-effective complex sampling techniques including stratification, clustering, and differential sampling rates to achieve several objectives, among them improved reliability of racial, ethnic, and geographical domains. This report describes these methods.

    Results: This report presents operating characteristics of NHIS 2006–2015. The general sampling structure is presented, along with a discussion of weighting and variance estimation techniques. This report is intended for general users of NHIS data systems.

    Suggested citation: Parsons VL, Moriarity C, Jonas K, et al. Design and estimation for the National Health Interview Survey, 2006–2015. National Center for Health Statistics. Vital Health Stat 2(165). 2014.

    CDC-INFO Pub ID 221717

  • Content Notes:
    221717
  • Subjects:
  • Source:
    Vital and health statistics. Series 2, Data evaluation and methods research ; no. 165
  • Series:
    Vital and Health Statistics Series
  • Document Type:
    Journal Issue
  • Genre:
    Statistics
  • Place as Subject:
    United States
  • Pages in Document:
    vi, 43 Pages
  • Volume:
    2
  • Issue:
    165
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:229a5372dd7b0aef1fa6a82447bad4b2130e842c092ee1d17a0eeedfafb1563ae9e5bb8ed141a75cc3b8d0245311f9a6c4999ddc80aa375978027a8257689be6
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  • File Type:
    Filetype[PDF - 1.39 MB ]
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