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Asymptotic variance estimation for the misclassification SIMEX

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  • Kuchenhoff, Helmut
  • Lederer, Wolfgang
  • Lesaffre, Emmanuel

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  • Kuchenhoff, Helmut & Lederer, Wolfgang & Lesaffre, Emmanuel, 2007. "Asymptotic variance estimation for the misclassification SIMEX," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6197-6211, August.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:12:p:6197-6211
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    Cited by:

    1. Mochen Yang & Edward McFowland III & Gordon Burtch & Gediminas Adomavicius, 2020. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem," Papers 2012.10790, arXiv.org.
    2. Li‐Pang Chen & Bangxu Qiu, 2023. "Analysis of length‐biased and partly interval‐censored survival data with mismeasured covariates," Biometrics, The International Biometric Society, vol. 79(4), pages 3929-3940, December.
    3. Mochen Yang & Edward McFowland & Gordon Burtch & Gediminas Adomavicius, 2022. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem," INFORMS Joural on Data Science, INFORMS, vol. 1(2), pages 138-155, October.
    4. Mochen Yang & Gediminas Adomavicius & Gordon Burtch & Yuqing Rena, 2018. "Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining," Information Systems Research, INFORMS, vol. 29(1), pages 4-24, March.

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