Examining neighbourhood confounding in a survey: An example using the National Health and Nutrition Examination Survey II
Copyright policy )Examining neighbourhood confounding in a survey: An example using the National Health and Nutrition Examination Survey II
AbstractThis 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.
- National Institute of Health Pakistan
- University of California, Los Angeles United States
Adult, Male, Models, Statistical, Adolescent, Infant, Blood Pressure, Middle Aged, Social Environment, Sampling Studies, Nutrition Disorders, Calcium, Dietary, Cross-Sectional Studies, Lead, Risk Factors, Child, Preschool, Humans, Female, Child, Aged, Probability
Adult, Male, Models, Statistical, Adolescent, Infant, Blood Pressure, Middle Aged, Social Environment, Sampling Studies, Nutrition Disorders, Calcium, Dietary, Cross-Sectional Studies, Lead, Risk Factors, Child, Preschool, Humans, Female, Child, Aged, Probability
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