Stabilized Weights

Stabilized Weights is a type of inverse probability weighting used in marginal structural models that adjusts for time-varying confounding by incorporating baseline probabilities in the denominator to reduce variance while maintaining unbiasedness.

17

Publications

1.8K

Citations

61

Authors

52

Institutions

Publications per year

2017–2026

5

Authors

61

  1. SX
    Stanley Xu

    Kaiser Permanente, United States

    2 publications · 817 citations

    2

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  2. SS
    Susan Shetterly

    Kaiser Permanente, United States

    2 publications · 817 citations

    2

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  3. MA
    Marsha A. Raebel

    Kaiser Permanente, United States

    2 publications · 817 citations

    2

    h-index

  4. MA
    Michał Abrahamowicz

    McGill University, Canada

    1 publications · 82 citations

    1

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  5. BV
    Beatriz Vaz de Melo Mendes

    Universidade Federal do Rio de Janeiro, Brazil

    1 publications · 34 citations

    1

    h-index

1–5 of 61

Venues

  1. Statistics in Medicine

    2 publications · 79 citations

    2

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  2. SSRN Electronic Journal

    Repository · 2 publications · 31 citations

    2

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  3. Physiological Zoology

    PZ · 1 publications · 46 citations

    1

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  4. Annals of Rehabilitation Medicine

    1 publications · 12 citations

    1

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  5. 1

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1–5