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Comparison of Four Methods for Estimating Complete Life Tables from Abridged Life Tables Using Mortality Data Supplied to EUROCARE-3

Listed author(s):
  • P. Baili
  • A. Micheli
  • A. Montanari
  • R. Capocaccia
Registered author(s):

    To estimate mortality due to cancer, it is necessary to have mortality data by year of age in the population of cancer patients. When such data are not available, estimating one-year (complete) life tables from five-year (abridged) life tables is necessary. Four such methods—Elandt-Johnson, Kostaki, Brass logit, and Akima spline methods—are compared with respect to 782 empirical complete life tables pertaining to 19 European regions or countries, from 1954 to 2000. Abridged life tables are first derived from the empirical ones, then used to produce one-year-life tables by each of the four methods. These reconstituted complete life tables are then compared with the empirical complete life tables. Among the four methods, the Elandt-Johnson demographic method produces the best reconstitutions at adult ages, specifically those ages at which observed cancer survival needs to be corrected.

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    Article provided by Taylor & Francis Journals in its journal Mathematical Population Studies.

    Volume (Year): 12 (2005)
    Issue (Month): 4 ()
    Pages: 183-198

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    Handle: RePEc:taf:mpopst:v:12:y:2005:i:4:p:183-198
    DOI: 10.1080/08898480500301751
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