Work

Confounding control in a nonexperimental study of STAR*D data: logistic regression balanced covariates better than boosted CART

Year: 2020

Type: article

Abstract: Propensity scores, a powerful bias-reduction tool, can balance treatment groups on measured covariates in non-experimental studies. We demonstrate the use of multiple propensity score estimation methods to optimize covariate balance.

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/3j18-th77

Authors: Farley, Joel F., Ellis, Alan R., Stürmer, Til, Dusetzina, Stacie B., Gaynes, Bradley N., Hansen, Richard A.

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, Agency for Healthcare Research and Quality, University of North Carolina at Chapel Hill, National Institute on Aging, Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill

Awards: G222602138, G8008223734, Propensity Scores and Preventive Drug Use in the Elderly

OpenAlex ID: W4300948615

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