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Kayané Robach

Kayané Robach

 https://orcid.org/0000-0002-5725-623X
  • 1
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20252025

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Research interests

I work in the BigStatistics team on the development of new statistical methods to estimate causal effects based on multiple data sets. At the interface of causal inference and record linkage this research should be specifically focused on the development of Bayesian approaches for survival analysis.

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  • A flexible model for record linkage

    Robach, K., van der Pas, S. L., van de Wiel, M. A. & Hof, M. H., 1 Nov 2025, In: Journal of the Royal Statistical Society. Series C: Applied Statistics. 74, 4, p. 1100-1127 28 p.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    File
    32 Downloads (Pure)

  • False Discovery Estimation in Record Linkage

    Robach, K., Hof, M. H. P. & van de Wiel, M. A., 16 Oct 2025, In: Statistics in Medicine. 44, 23-24, e70292.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    File
    39 Downloads (Pure)