Life Events that Cascade: An Excursion into DALY Computations

Young Lee (), Thanh Vinh Vo (), Derek Ni () and Gang Mu ()
Additional contact information
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

A chapter in Quantitative Models in Life Science Business, 2023, pp 111-127 from Springer

Abstract: 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.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spbchp:978-3-031-11814-2_7

Ordering information: This item can be ordered from
http://www.springer.com/9783031118142

DOI: 10.1007/978-3-031-11814-2_7

Access Statistics for this chapter

More chapters in SpringerBriefs in Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().