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Points of significance

Propensity score weighting

Nature Methods volume 22, pages 638–640 (2025)Cite this article

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Fig. 1: Average treatment effect (ATE) weights create a pseudo-population in which confounders are balanced.
Fig. 2: Confounder distributions can be rebalanced with average treatment effect (ATE) weights.
Fig. 3: Comparison of deteriorating performance of PSM and PSW at small cohort sizes.

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Author information

Authors and Affiliations

  1. Novartis Pharma GmbH, Munich, Germany

    Christoph F. Kurz

  2. Canada’s Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada

    Martin Krzywinski

  3. Department of Statistics, The Pennsylvania State University, State College, PA, USA

    Naomi Altman

Authors
  1. Christoph F. Kurz
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  2. Martin Krzywinski
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  3. Naomi Altman
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Corresponding author

Correspondence to Martin Krzywinski.

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C.F.K. is employed by Novartis Pharma.

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Kurz, C.F., Krzywinski, M. & Altman, N. Propensity score weighting. Nat Methods 22, 638–640 (2025). https://doi.org/10.1038/s41592-025-02629-y

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