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Semiparametric Regression for Periodic Longitudinal Hormone Data from Multiple Menstrual Cycles

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  • Daowen Zhang
  • Xihong Lin
  • MaryFran Sowers

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  • Daowen Zhang & Xihong Lin & MaryFran Sowers, 2000. "Semiparametric Regression for Periodic Longitudinal Hormone Data from Multiple Menstrual Cycles," Biometrics, The International Biometric Society, vol. 56(1), pages 31-39, March.
    • Handle: RePEc:bla:biomet:v:56:y:2000:i:1:p:31-39
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2000.00031.x
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    Cited by:

    1. Huayu Liu & Nichole E. Carlson & Gary K. Grunwald & Alex J. Polotsky, 2018. "Modeling associations between latent event processes governing time series of pulsing hormones," Biometrics, The International Biometric Society, vol. 74(2), pages 714-724, June.
    2. Herberich Esther & Hassler Christine & Hothorn Torsten, 2014. "Multiple Curve Comparisons with an Application to the Formation of the Dorsal Funiculus of Mutant Mice," The International Journal of Biostatistics, De Gruyter, vol. 10(2), pages 289-302, November.
    3. Lara Lusa & Črt Ahlin, 2020. "Restricted cubic splines for modelling periodic data," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-17, October.
    4. Zhao, Shi & Bakoyannis, Giorgos & Lourens, Spencer & Tu, Wanzhu, 2020. "Comparison of nonlinear curves and surfaces," Computational Statistics & Data Analysis, Elsevier, vol. 150(C).
    5. Sue J. Welham & Brian R. Cullis & Michael G. Kenward & Robin Thompson, 2006. "The Analysis of Longitudinal Data Using Mixed Model L-Splines," Biometrics, The International Biometric Society, vol. 62(2), pages 392-401, June.
    6. Daowen Zhang & Xihong Lin & MaryFran Sowers, 2007. "Two-Stage Functional Mixed Models for Evaluating the Effect of Longitudinal Covariate Profiles on a Scalar Outcome," Biometrics, The International Biometric Society, vol. 63(2), pages 351-362, June.

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