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Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements

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  • Jeff Goldsmith
  • Ciprian M. Crainiceanu
  • Brian Caffo
  • Daniel Reich

Abstract

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Suggested Citation

  • Jeff Goldsmith & Ciprian M. Crainiceanu & Brian Caffo & Daniel Reich, 2012. "Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(3), pages 453-469, May.
    • Handle: RePEc:bla:jorssc:v:61:y:2012:i:3:p:453-469
    DOI: j.1467-9876.2011.01031.x
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    Citations

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    Cited by:

    1. Cao, Guanqun & Wang, Li, 2018. "Simultaneous inference for the mean of repeated functional data," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 279-295.
    2. Chen Yue & Vadim Zipunnikov & Pierre-Louis Bazin & Dzung Pham & Daniel Reich & Ciprian Crainiceanu & Brian Caffo, 2016. "Parameterization of White Matter Manifold-Like Structures Using Principal Surfaces," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1050-1060, July.
    3. Dazhou Lei & Hao Hu & Dongyang Geng & Jianshen Zhang & Yongzhi Qi & Sheng Liu & Zuo‐Jun Max Shen, 2023. "New product life cycle curve modeling and forecasting with product attributes and promotion: A Bayesian functional approach," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 655-673, February.
    4. Zhu, Hongxiao & Morris, Jeffrey S. & Wei, Fengrong & Cox, Dennis D., 2017. "Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study," Computational Statistics & Data Analysis, Elsevier, vol. 111(C), pages 88-101.
    5. Mostafa Zahed & Trent Lalonde & Maryam Skafyan, 2023. "Application of an Intensive Longitudinal Functional Model with Multiple Time Scales in Objectively Measured Children’s Physical Activity," Mathematics, MDPI, vol. 11(8), pages 1-22, April.
    6. J. Goldsmith & S. Greven & C. Crainiceanu, 2013. "Corrected Confidence Bands for Functional Data Using Principal Components," Biometrics, The International Biometric Society, vol. 69(1), pages 41-51, March.
    7. Guodong Shan & Yiheng Hou & Baisen Liu, 2020. "Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions," Computational Statistics, Springer, vol. 35(4), pages 2077-2092, December.
    8. Gina-Maria Pomann & Ana-Maria Staicu & Sujit Ghosh, 2016. "A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(3), pages 395-414, April.
    9. Ciarleglio, Adam & Todd Ogden, R., 2016. "Wavelet-based scalar-on-function finite mixture regression models," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 86-96.
    10. Shujie Ma, 2016. "Estimation and inference in functional single-index models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(1), pages 181-208, February.
    11. Tomasz Górecki & Lajos Horváth & Piotr Kokoszka, 2020. "Tests of Normality of Functional Data," International Statistical Review, International Statistical Institute, vol. 88(3), pages 677-697, December.
    12. 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.
    13. Benjamin A. Goldstein & Themistocles Assimes & Wolfgang C. Winkelmayer & Trevor Hastie, 2015. "Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records," Biometrics, The International Biometric Society, vol. 71(2), pages 478-486, June.
    14. Qi, Xin & Luo, Ruiyan, 2018. "Function-on-function regression with thousands of predictive curves," Journal of Multivariate Analysis, Elsevier, vol. 163(C), pages 51-66.
    15. Tingting Huang & Gilbert Saporta & Huiwen Wang & Shanshan Wang, 2021. "A robust spatial autoregressive scalar-on-function regression with t-distribution," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(1), pages 57-81, March.
    16. Ting Li & Huichen Zhu & Tengfei Li & Hongtu Zhu, 2023. "Asynchronous functional linear regression models for longitudinal data in reproducing kernel Hilbert space," Biometrics, The International Biometric Society, vol. 79(3), pages 1880-1895, September.
    17. Philip T. Reiss & Jeff Goldsmith & Han Lin Shang & R. Todd Ogden, 2017. "Methods for Scalar-on-Function Regression," International Statistical Review, International Statistical Institute, vol. 85(2), pages 228-249, August.
    18. Liu, Baisen & Wang, Liangliang & Cao, Jiguo, 2017. "Estimating functional linear mixed-effects regression models," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 153-164.

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