Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys

Overview

Journal Stat Med

Publisher Wiley

Specialty Public Health

Date 2017 Apr 19

PMID 28419523

Citations 3

Authors

Maya Sternberg

Affiliations

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Abstract

National health surveys, such as the National Health and Nutrition Examination Survey, are used to monitor trends of nutritional biomarkers. These surveys try to maintain the same biomarker assay over time, but there are a variety of reasons why the assay may change. In these cases, it is important to evaluate the potential impact of a change so that any observed fluctuations in concentrations over time are not confounded by changes in the assay. To this end, a subset of stored specimens previously analyzed with the old assay is retested using the new assay. These paired data are used to estimate an adjustment equation, which is then used to 'adjust' all the old assay results and convert them into 'equivalent' units of the new assay. In this paper, we present a new way of approaching this problem using modern statistical methods designed for missing data. Using simulations, we compare the proposed multiple imputation approach with the adjustment equation approach currently in use. We also compare these approaches using real National Health and Nutrition Examination Survey data for 25-hydroxyvitamin D. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.

Citing Articles

Population RBC folate concentrations can be accurately estimated from measured whole blood folate, measured hemoglobin, and predicted serum folate-cross-sectional data from the NHANES 1988-2010.

Zhang M, Sternberg M, Yeung L, Pfeiffer C Am J Clin Nutr. 2019; 111(3):601-612.

PMID: 31858145 PMC: 10059072. DOI: 10.1093/ajcn/nqz307.

Folate status in the US population 20 y after the introduction of folic acid fortification.

Pfeiffer C, Sternberg M, Zhang M, Fazili Z, Storandt R, Crider K Am J Clin Nutr. 2019; 110(5):1088-1097.

PMID: 31504109 PMC: 6821545. DOI: 10.1093/ajcn/nqz184.

Vitamin D status in the United States, 2011-2014.

Herrick K, Storandt R, Afful J, Pfeiffer C, Schleicher R, Gahche J Am J Clin Nutr. 2019; 110(1):150-157.

PMID: 31076739 PMC: 7263437. DOI: 10.1093/ajcn/nqz037.

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