March 3, 2026Open Access

Big Data May Have Big Pitfalls: Ensuring Rigor in Rheumatic Disease Epidemiology

Key Points

Improving data integrity is crucial for reliable epidemiological studies in rheumatic diseases.
Big data approaches may introduce biases, undermining valid conclusions in rheumatology.
Assessment using statistical rigor emphasizes reliable methods for analyzing epidemiological data.
These findings suggest the need for enhanced scrutiny and validation in big data studies.

Abstract

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Cite this study

Costenbader et al. (Thu,) studied this question.

synapsesocial.com/papers/69a76717badf0bb9e87df8ed — DOI: https://doi.org/10.1002/art.70067

Authors

Karen H. Costenbader

D H Solomon

S. Louis Bridges

Journals

Arthritis & Rheumatology

Actions

Institutions

Cornell University

Brigham and Women's Hospital

Hospital for Special Surgery

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Big Data May Have Big Pitfalls: Ensuring Rigor in Rheumatic Disease Epidemiology

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion