August 31, 2026 article Do quantitative bias analyses accurately characterize bias due to uncontrolled confounding? Annals of Epidemiology DOI: 10.1016/j.annepidem.2026.110270 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Commentary: An argument against E-values for assessing the plausibility that an association could be explained away by residual confounding 2020 International Journal of Epidemiology editorial Mathematics Advanced Causal Inference Techniques Open access 29 citations 1 result