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Activity Number: 149
Type: Contributed
Date/Time: Monday, August 4, 2008 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301551
Title: Imputation for Missing Physiological and Health Measurement Data: Tests and Applications
Author(s): Matt Jans*+ and Steven G. Heeringa
Companies: The University of Michigan and Institute for Social Research
Address: Michigan Program in Survey Methodology, Institute for Social Research, Ann Arbor, MI, 48104,
Keywords: health surveys ; missing data ; imputation ; biological measures ; NHANES
Abstract:

We evaluated alternative approaches to imputation for univariate estimates and multivariate regression analyses of physiological health measures collected in the 2003-2004 National Health and Nutrition Examination Survey (NHANES). From the NHANES public use data files we selected 5041 respondents age 20+ who provided questionnaire or medical exam data. Measures collected at interview (e.g., demographics, self-reported health status) and measures collected at physical examination (e.g., height, weight, blood pressure, cholesterol, hemoglobin, Hematocrit, and iron) were evaluated for rates of item missing data (i.e., item nonresponse). The properties of several imputation methods (including single and multiple imputation) were evaluated with respect to univariate estimates and a regression model using age, sex, race, height, weight, cholesterol, and marital status to predict blood pressure

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