@article{6cbb6ac3a9764969877ceeab363edce5,
title = "Using Controlled Feeding Study for Biomarker Development in Regression Calibration for Disease Association Estimation",
abstract = "Correction for systematic measurement error in self-reported data is an important challenge in association studies of dietary intake and chronic disease risk. The regression calibration method has been used for this purpose when an objectively measured biomarker is available. However, a big limitation of the regression calibration method is that biomarkers have only been developed for a few dietary components. We propose new methods to use controlled feeding studies to develop valid biomarkers for many more dietary components and to estimate the diet disease associations. Asymptotic distribution theory for the proposed estimators is derived. Extensive simulation is performed to study the finite sample performance of the proposed estimators. We applied our method to examine the associations between the sodium/potassium intake ratio and cardiovascular disease incidence using the Women{\textquoteright}s Health Initiative cohort data. We discovered positive associations between sodium/potassium ratio and the risks of coronary heart disease, nonfatal myocardial infarction, coronary death, ischemic stroke, and total cardiovascular disease.",
keywords = "Biomarker, Cardiovascular disease, Feeding study, Measurement error, Regression calibration",
author = "Cheng Zheng and Yiwen Zhang and Ying Huang and Ross Prentice",
note = "Funding Information: This work was partially supported by Grant R01 CA119171 from the U.S. National Cancer Institute and R01 GM106177 and U54 GM115458 from the National Institute of General Medical Sciences. The WHI programs are funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services through contracts, HHSN268201600018C, HHSN268201600001C, HHSN268201600002C, HHSN268201600003C, and HHSN268201600004C. The authors acknowledge the following investigators in the Women{\textquoteright}s Health Initiative (WHI) Program: Program Office: Jacques E. Rossouw, Shari Ludlam, Dale Burwen, Joan McGowan, Leslie Ford, and Nancy Geller, National Heart, Lung, and Blood Institute, Bethesda, Maryland; Clinical Coordinating Center, Women{\textquoteright}s Health Initiative Clinical Coordinating Center: Garnet L. Anderson, Ross L. Prentice, Andrea Z. LaCroix, and Charles L. Kooperberg, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington; Investigators and Academic Centers: JoAnn E. Manson, Brigham and Women{\textquoteright}s Hospital, Harvard Medical School, Boston,Massachusetts; Barbara V. Howard, MedStar Health Research Institute/Howard University, Washington, DC; Marcia L. Stefanick, Stanford Prevention Research Center, Stanford, California; Rebecca Jackson, The Ohio State University, Columbus, Ohio; Cynthia A. Thomson, University of Arizona, Tucson/Phoenix, Arizona; Jean Wactawski-Wende, University at Buffalo, Buffalo, New York; Marian C. Limacher, University of Florida, Gainesville/Jacksonville, Florida; Robert M. Wallace, University of Iowa, Iowa City/ Davenport, Iowa; Lewis H. Kuller, University of Pittsburgh, Pittsburgh, Pennsylvania; and Sally A. Shumaker, Wake Forest University School of Medicine, Winston-Salem, North Carolina; Women{\textquoteright}s Health Initiative Memory Study: Sally A. Shumaker, Wake Forest University School of Medicine,Winston-Salem, North Carolina. For a list of all the investigators who have contributed to WHI science, please visit: https://www.whi.org/researchers/SitePages/WHI Decisions concerning study design, data collection and analysis, interpretation of the results, the preparation of the manuscript, and the decision to submit the manuscript for publication resided with committees that comprised WHI investigators and included National Heart, Lung, and Blood Institute representatives. The contents of the paper are solely the responsibility of the authors. Funding Information: The research is partially supported by Grant R01 CA119171 from the U.S. National Cancer Institute, U54 GM115458 and R01 GM106177 from the National Institute of General Medical Sciences. Publisher Copyright: {\textcopyright} 2022, The Author(s) under exclusive licence to International Chinese Statistical Association.",
year = "2022",
doi = "10.1007/s12561-022-09349-3",
language = "English (US)",
journal = "Statistics in Biosciences",
issn = "1867-1764",
publisher = "Springer New York",
}