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Analysis of heat wave effects on health by using generalized additive model and bootstrap‐based model selection

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  • Francesco Pauli
  • Laura Rizzi

Abstract

Summary. It is known that high summer temperature may lead to worsening health conditions among fragile individuals within exposed populations. It is also argued that multiday patterns of high temperature—heat waves—may have relevant effects on health. We discuss the possible measures of intensities of heat waves to be included in a generalized additive model explaining the number of hospital admissions that occurred during summer months in Milan. The issue of variable selection is central to the analysis: a computational method is discussed which may help in assessing the robustness of the model selection method. Eventually, we obtain evidence supporting the relevance of heat waves in driving adverse health episodes.

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  • Francesco Pauli & Laura Rizzi, 2008. "Analysis of heat wave effects on health by using generalized additive model and bootstrap‐based model selection," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(4), pages 473-485, September.
    • Handle: RePEc:bla:jorssc:v:57:y:2008:i:4:p:473-485
    DOI: 10.1111/j.1467-9876.2008.00626.x
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    1. S. N. Wood, 2000. "Modelling and smoothing parameter estimation with multiple quadratic penalties," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 413-428.
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    Cited by:

    1. Jennifer F. Bobb & Francesca Dominici & Roger D. Peng, 2011. "A Bayesian Model Averaging Approach for Estimating the Relative Risk of Mortality Associated with Heat Waves in 105 U.S. Cities," Biometrics, The International Biometric Society, vol. 67(4), pages 1605-1616, December.

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