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PSweight: An R Package for Propensity ScoreWeighting Analysis

Publication ,  Journal Article
Zhou, T; Tong, G; Li, F; Thomas, LE
Published in: R Journal
March 1, 2022

Propensity score weighting is an important tool for comparative effectiveness research. Besides the inverse probability of treatment weights (IPW), recent development has introduced a general class of balancing weights, corresponding to alternative target populations and estimands. In particular, the overlap weights (OW) lead to optimal covariate balance and estimation efficiency, and a target population of scientific and policy interest. We develop the R package PSweight to provide a comprehensive design and analysis platform for causal inference based on propensity score weighting. PSweight supports (i) a variety of balancing weights, (ii) binary and multiple treatments, (iii) simple and augmented weighting estimators, (iv) nuisance-adjusted sandwich variances, and (v) ratio estimands. PSweight also provides diagnostic tables and graphs for covariate balance assessment. We demonstrate the functionality of the package using a data example from the National Child Development Survey (NCDS), where we evaluate the causal effect of educational attainment on income

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Published In

R Journal

DOI

EISSN

2073-4859

Publication Date

March 1, 2022

Volume

14

Issue

1

Start / End Page

282 / 299

Related Subject Headings

  • 4905 Statistics
  • 4612 Software engineering
  • 0803 Computer Software
  • 0104 Statistics
 

Citation

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Zhou, T., Tong, G., Li, F., & Thomas, L. E. (2022). PSweight: An R Package for Propensity ScoreWeighting Analysis. R Journal, 14(1), 282–299. https://doi.org/10.32614/RJ-2022-011
Zhou, T., G. Tong, F. Li, and L. E. Thomas. “PSweight: An R Package for Propensity ScoreWeighting Analysis.” R Journal 14, no. 1 (March 1, 2022): 282–99. https://doi.org/10.32614/RJ-2022-011.
Zhou T, Tong G, Li F, Thomas LE. PSweight: An R Package for Propensity ScoreWeighting Analysis. R Journal. 2022 Mar 1;14(1):282–99.
Zhou, T., et al. “PSweight: An R Package for Propensity ScoreWeighting Analysis.” R Journal, vol. 14, no. 1, Mar. 2022, pp. 282–99. Scopus, doi:10.32614/RJ-2022-011.
Zhou T, Tong G, Li F, Thomas LE. PSweight: An R Package for Propensity ScoreWeighting Analysis. R Journal. 2022 Mar 1;14(1):282–299.

Published In

R Journal

DOI

EISSN

2073-4859

Publication Date

March 1, 2022

Volume

14

Issue

1

Start / End Page

282 / 299

Related Subject Headings

  • 4905 Statistics
  • 4612 Software engineering
  • 0803 Computer Software
  • 0104 Statistics