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Life Events that Cascade: An Excursion into DALY Computations

In: Quantitative Models in Life Science Business

Author

Listed:
  • Young Lee

    (F. Hoffmann-La Roche AG)

  • Thanh Vinh Vo

    (National University of Singapore)

  • Derek Ni

    (F. Hoffmann-La Roche AG)

  • Gang Mu

    (University of Zurich)

Abstract

A problem frequently encountered in point process modeling is that event times are usually not known. The only available information is the number of events over a given interval. Calculus and regularization present a convenient framework to perform inference in these circumstances through explicit formulas for this class of mixed doubly point processes. As an application, we present a novel way of dealing with uncertainties in the computation of disability-adjusted life year, which is a measure of overall disease burden in populations.

Suggested Citation

  • Young Lee & Thanh Vinh Vo & Derek Ni & Gang Mu, 2023. "Life Events that Cascade: An Excursion into DALY Computations," SpringerBriefs in Economics, in: Jung Kyu Canci & Philipp Mekler & Gang Mu (ed.), Quantitative Models in Life Science Business, pages 111-127, Springer.
    • Handle: RePEc:spr:spbchp:978-3-031-11814-2_7
    DOI: 10.1007/978-3-031-11814-2_7
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