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  3. Statistical methods for adjusting the confounding effects of multiple variables. A cross-sectional study of respiratory diseases.
  1. Home
  2. Publications
  3. Statistical methods for adjusting the confounding effects of multiple variables. A cross-sectional study of respiratory diseases.

Statistical methods for adjusting the confounding effects of multiple variables. A cross-sectional study of respiratory diseases.

Author:
  • XXXiping Xu
    Xiping Xu
Publisher website
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  • 1 January 1987
    • journal article
    • Published by Japanese Society of Health and Human Ecology in Japanese Journal of Health and Human Ecology
    • Vol. 53  (5) , 215-227
    • DOI:10.3861/jshhe.53.215
Abstract
No abstract available
Keywords
  • RESPIRATORY DISEASES
  • STATISTICAL METHODS
  • MULTIPLE VARIABLES
  • CONFOUNDING EFFECTS
  • CROSS SECTIONAL
  • METHODS FOR ADJUSTING
Cited by 2 articles
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