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Multiscale Adaptive Marginal Analysis of Longitudinal Neuroimaging Data with Time-Varying Covariates

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  • Martha Skup
  • Hongtu Zhu
  • Heping Zhang

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  • Martha Skup & Hongtu Zhu & Heping Zhang, 2012. "Multiscale Adaptive Marginal Analysis of Longitudinal Neuroimaging Data with Time-Varying Covariates," Biometrics, The International Biometric Society, vol. 68(4), pages 1083-1092, December.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:4:p:1083-1092
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2012.01767.x
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    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Yimei Li & Hongtu Zhu & Dinggang Shen & Weili Lin & John H. Gilmore & Joseph G. Ibrahim, 2011. "Multiscale adaptive regression models for neuroimaging data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(4), pages 559-578, September.
    3. Tze Leung Lai & Dylan Small, 2007. "Marginal regression analysis of longitudinal data with time‐dependent covariates: a generalized method‐of‐moments approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(1), pages 79-99, February.
    4. J. Polzehl & V. G. Spokoiny, 2000. "Adaptive weights smoothing with applications to image restoration," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 335-354.
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    Cited by:

    1. Dai, Ning & Jones, Galin L. & Fiecas, Mark, 2020. "Bayesian longitudinal spectral estimation with application to resting-state fMRI data analysis," Econometrics and Statistics, Elsevier, vol. 15(C), pages 104-116.

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