"Shaking the ladder" reveals how analytic choices can influence associations in nutrition epidemiology: beef intake and coronary heart disease as a case study
Explores roughly one million model specifications to show how analytical choices change estimated associations between beef intake and coronary heart disease.
Open-science resources
- Open access: Free full text (PMC)
- Shared data: Analysis data
- Shared code: Analysis code
- Registration: Registration
- Preprint: Earlier preprint
- Shared materials: Supplementary materials
- Open access: Free abstract
Resource verification & source notes
- Free full text (PMC): The complete article body was retrieved from the public NCBI PMC JATS endpoint. This confirms free access; reuse permissions depend on the individual article license.
- Analysis data: The article links this project for its model specification and reproducible analysis code; public files also include derived model-space and result tables. These are not the controlled REGARDS participant-level records.
- Analysis code: The article links this project for its model specification and reproducible analysis code; public files also include derived model-space and result tables. These are not the controlled REGARDS participant-level records.
- Registration: The article identifies this OSF registration and describes changes made after registration.
- Earlier preprint: Matched title / source version grouping.
- Supplementary materials: Live Figshare inventory contains bfsn_a_2525459_sm3540.docx, bfsn_a_2525459_sm3538.docx. These documents alone do not establish shared raw data or executable code.
- Free abstract: OpenAlex marks this location open access (gold); availability is metadata-reported, not an independently tested reusable license.
Publication details
Research themes
Reproducibility & robustnessStatistical rigorNutrition & aging
Author affiliations & identifiers
- Colby J Vorland: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
- Lauren E O'Connor: Agricultural Research Service, United States Department of Agriculture, Beltsville Human Nutrition Research Center.
- Beate Henschel: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
- Cuiqiong Huo: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
- James M Shikany: Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
- Carlos A Serrano: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
- Robert Henschel: UITS Research Technologies, Indiana University, Bloomington, IN, USA.
- Stephanie L Dickinson: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
- Keisuke Ejima: Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
- Aurelian Bidulescu: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
- David B Allison: Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
- Andrew W Brown: Arkansas Children's Research Institute, Little Rock, AR, USA.; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Versions & associated materials
These items belong to this research work. Their individual titles, author lists, and source identifiers are preserved below.
“Shaking the ladder” reveals how analytic choices can influence associations in nutrition epidemiology: beef intake and coronary heart disease as a case study
Exploring how analytic choices influence the association between self-reported diet and chronic disease outcomes: beef intake and coronary heart disease as a case study
How analytic choices influence diet and chronic disease outcome associations
Methodological Considerations in the Application of Multiverse Analyses for More Rigorous Inferences About Nutrition and Health
Methodological Considerations in the Application of Multiverse Analyses for More Rigorous Inferences About Nutrition and Health
Preprint & version links
Related materials
Source notes
- CV abbreviates the ordered author list with ellipses; replace with complete authoritative list before displaying full authors.