Work

Adjustment for biased sampling using NHANES derived propensity weights

Year: 2022

Type: article

Source: Health Services and Outcomes Research Methodology

DOI: 10.1007/s10742-022-00283-x

Authors: Olivia M. Bernstein, Brian G. Vegetabile, Christian R. Salazar, Joshua D. Grill, Daniel L. Gillen

Institutions: University of California, Irvine, RAND Corporation

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, Alzheimer's Association, Achievement Rewards for College Scientists Foundation, National Institutes of Health, National Institute on Aging, National Institute on Drug Abuse

Awards: Improving Causal Inference Tools for Addiction Researchers, Understanding Hispanic Participation in Online Recruitment Registries, G4932597581, G8082095184, Assessing the role of cerebrovascular brain injury and dysfunction in Alzheimer’s disease pathogenesis in the BEACoN Cohort, The Alzheimer's Disease Research Center at the University of California, Irvine

OpenAlex ID: W3154422171

FWCI: 0.553

Cites: 56

Cited by: 4

Related to: 10