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Kernel weighted influence measures

Author

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  • Hens, Niel
  • Aerts, Marc
  • Molenberghs, Geert
  • Thijs, Herbert
  • Verbeke, Geert

Abstract

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Suggested Citation

  • Hens, Niel & Aerts, Marc & Molenberghs, Geert & Thijs, Herbert & Verbeke, Geert, 2005. "Kernel weighted influence measures," Computational Statistics & Data Analysis, Elsevier, vol. 48(3), pages 467-487, March.
    • Handle: RePEc:eee:csdana:v:48:y:2005:i:3:p:467-487
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    References listed on IDEAS

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    1. P. Diggle & M. G. Kenward, 1994. "Informative Drop‐Out in Longitudinal Data Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(1), pages 49-73, March.
    2. Molenberghs, Geert & Verbeke, Geert & Thijs, Herbert & Lesaffre, Emmanuel & Kenward, Michael G., 2001. "Influence analysis to assess sensitivity of the dropout process," Computational Statistics & Data Analysis, Elsevier, vol. 37(1), pages 93-113, July.
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    Cited by:

    1. S. Eftekhari Mahabadi & M. Ganjali, 2012. "An index of local sensitivity to non-ignorability for parametric survival models with potential non-random missing covariate: an application to the SEER cancer registry data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(11), pages 2327-2348, July.
    2. Xiaoyan Shi & Hongtu Zhu & Joseph G. Ibrahim, 2009. "Local Influence for Generalized Linear Models with Missing Covariates," Biometrics, The International Biometric Society, vol. 65(4), pages 1164-1174, December.

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