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A penalized framework for distributed lag non-linear models

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  • Antonio Gasparrini
  • Fabian Scheipl
  • Ben Armstrong
  • Michael G. Kenward

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  • Antonio Gasparrini & Fabian Scheipl & Ben Armstrong & Michael G. Kenward, 2017. "A penalized framework for distributed lag non-linear models," Biometrics, The International Biometric Society, vol. 73(3), pages 938-948, September.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:3:p:938-948
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    File URL: http://hdl.handle.net/10.1111/biom.12645
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    References listed on IDEAS

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    1. Simon N. Wood, 2006. "Low-Rank Scale-Invariant Tensor Product Smooths for Generalized Additive Mixed Models," Biometrics, The International Biometric Society, vol. 62(4), pages 1025-1036, December.
    2. Eilers, Paul H.C. & Currie, Iain D. & Durban, Maria, 2006. "Fast and compact smoothing on large multidimensional grids," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 61-76, January.
    3. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    4. Michael Hauptmann & Jürgen Wellmann & Jay H. Lubin & Philip S. Rosenberg & Lothar Kreienbrock, 2000. "Analysis of Exposure-Time-Response Relationships Using a Spline Weight Function," Biometrics, The International Biometric Society, vol. 56(4), pages 1105-1108, December.
    5. Simon N. Wood, 2008. "Fast stable direct fitting and smoothness selection for generalized additive models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(3), pages 495-518, July.
    6. Viola Obermeier & Fabian Scheipl & Christian Heumann & Joachim Wassermann & Helmut Küchenhoff, 2015. "Flexible distributed lags for modelling earthquake data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 64(2), pages 395-412, February.
    7. Alastair M. Rushworth & Adrian W. Bowman & Mark J. Brewer & Simon J. Langan, 2013. "Distributed Lag Models for Hydrological Data," Biometrics, The International Biometric Society, vol. 69(2), pages 537-544, June.
    8. L. J. Welty & R. D. Peng & S. L. Zeger & F. Dominici, 2009. "Bayesian Distributed Lag Models: Estimating Effects of Particulate Matter Air Pollution on Daily Mortality," Biometrics, The International Biometric Society, vol. 65(1), pages 282-291, March.
    9. Giampiero Marra & Simon N. Wood, 2012. "Coverage Properties of Confidence Intervals for Generalized Additive Model Components," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 39(1), pages 53-74, March.
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    Cited by:

    1. Daniel Mork & Ander Wilson, 2023. "Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs," Biometrics, The International Biometric Society, vol. 79(1), pages 449-461, March.
    2. Yuyan Wang & Akhgar Ghassabian & Bo Gu & Yelena Afanasyeva & Yiwei Li & Leonardo Trasande & Mengling Liu, 2023. "Semiparametric distributed lag quantile regression for modeling time‐dependent exposure mixtures," Biometrics, The International Biometric Society, vol. 79(3), pages 2619-2632, September.
    3. Wang, Fan & Zhang, Chao & Zhang, Hui & Xu, Liang, 2021. "Short-term physician rescheduling model with feature-driven demand for mental disorders outpatients," Omega, Elsevier, vol. 105(C).

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