Illustration of measurement error models for reducing biases in nutrition and obesity research using 2D body composition data
Publication Date
10-26-2018
Abstract
The files required to reproduce the results of our manuscript entitled, “Illustration of measurement error models for reducing biases in nutrition and obesity research using 2D body composition data” published in Obesity are provided. The data and data dictionary for the Photobody Study and codes corresponding to this manuscript are in this folder.
Keywords
measurement error, regression calibration, multiple imputation, simulation extrapola, body composit, body fat, diabetes, physical activity
Repository
OpenICPSR
Repository Identifier
106966
Distribution License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Access Instructions
This data is available under the CC-BY 4.0 License
Funder
United States Department of Health and Human Services. National Institutes of Health. National Heart Lung and Blood Institute (R01HL107916); United States Department of Health and Human Services. National Institutes of Health. National Institute of Diabetes and Digestive and Kidney Diseases (P30DK056336); United States Department of Health and Human Services. National Institutes of Health. National Heart Lung and Blood Institute (T32HL072757); United States Department of Health and Human Services. National Institutes of Health. National Institute of Diabetes and Digestive and Kidney Diseases (T32DK062710); United States Department of Health and Human Services. National Institutes of Health. National Center for Advancing Translational Sciences (KL2TR001419); United States Department of Health and Human Services. National Institutes of Health. National Cancer Institute (U01-CA057030-29S2)
