Work

Quantitative bias analysis methods for summary-level epidemiologic data in the peer-reviewed literature: a systematic review

Year: 2024

Type: review

Study design: Systematic Review

Source: Journal of Clinical Epidemiology

DOI: 10.1016/j.jclinepi.2024.111507

Authors: Xiaoting Shi, Ziang Liu, Mingfeng Zhang, Wei Hua, Jie Li, Joo-Yeon Lee, Sai Dharmarajan, Kate Nyhan, Ashley Naimi, Timothy L. Lash, Molly M. Jeffery, Joseph S. Ross, Zeyan Liew, Joshua D. Wallach

Institutions: Yale University, University of South Carolina, United States Food and Drug Administration, Center for Drug Evaluation and Research, Sarepta Therapeutics (United States), Emory University, Mayo Clinic

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Health and Human Services, U.S. Food and Drug Administration, National Institute on Alcohol Abuse and Alcoholism

Awards: G4883553062, G7897100158, Identifying patient subgroups that are most likely to benefit from medications used to treat alcohol use disorder

OpenAlex ID: W4401929972

FWCI: 1.005

Cites: 27

Cited by: 8

Related to: 10