Premium
Examining neighbourhood confounding in a survey: An example using the National Health and Nutrition Examination Survey II
Author(s) -
Korn Edward L.,
Graubard Barry I.
Publication year - 1988
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780071009
Subject(s) - confounding , neighbourhood (mathematics) , national health and nutrition examination survey , matching (statistics) , environmental health , medicine , statistics , demography , population , mathematics , sociology , mathematical analysis
This paper demonstrates a methodology for examining whether neighbourhood stratification lessens the confounding bias of some specific risk‐factor/disease associations in analysis of the National Health and Nutrition Examination Survey II (NHANES II). The fortuitous clustering of the sample design of NHANES allows us to estimate risk‐factor/disease associations with and without controlling for neighbourhood effects on the same population. We briefly discuss the implications of this methodology for neighbourhood matching in case‐control studies.