Work

Publisher Correction: Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions

Year: 2023

Type: erratum

Abstract: The original version of this Article contained an error in the name of author William S. Yancy Jr., where the name suffix ‘Jr.’ was inadvertently omitted.

Source: Scientific Reports

DOI: 10.1038/s41598-023-49737-3

Authors: Jiayi Tong, Rui Duan, Ruowang Li, Chongliang Luo, Jason H. Moore, Jingsan Zhu, Gary D. Foster, Kevin G. Volpp, William S. Yancy, Pamela A. Shaw, Yong Chen

Institutions: University of Pennsylvania, Harvard University, Cedars-Sinai Medical Center, Washington University in St. Louis, WW International, Inc. (United States), Duke University, Kaiser Permanente Washington Health Research Institute

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,390

Funder: National Institute of General Medical Sciences

Award: Federated and transfer learning methods for cross-ancestry and cross-phenotype integration of genomic datasets

OpenAlex ID: W4389919794

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