Weighted Kaplan-meier Estimation

Weighted Kaplan-Meier Estimation is a non-parametric survival analysis method that extends the standard Kaplan-Meier estimator by incorporating observation-specific weights to account for unequal sampling or censoring probabilities, thereby adjusting the estimation of the survival function to better reflect population-level dynamics or handle stratified data structures.

54

Publications

3.7K

Citations

301

Authors

186

Institutions

Publications per year

2017–2026

23

Authors

301

  1. JM
    Jeremy M. G. Taylor

    University of Michigan, United States

    2 publications · 76 citations

    2

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  2. DY
    D. Y. Lin

    University of North Carolina at Chapel Hill, United States

    2 publications · 161 citations

    2

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  3. CH
    Chiu‐Hsieh Hsu

    University of Arizona, United States

    2 publications · 75 citations

    2

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  4. MS
    Margaret S. Pepe

    Fred Hutch Cancer Center, United States

    2 publications · 401 citations

    2

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  5. MG
    Maria Grazia Valsecchi

    University of Milano-Bicocca, Italy

    2 publications · 53 citations

    2

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1–5 of 301

Venues

  1. Statistics in Medicine

    8 publications · 726 citations

    8

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  2. Biometrics

    4 publications · 355 citations

    4

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  3. Biometrika

    2 publications · 76 citations

    2

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  4. 2

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  5. 2

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1–5