Abstract:
:In US states with small subpopulations, the observed mortality rates are often zero, particularly among young ages. Because in life tables, death rates are reported mostly on a log scale, zero mortality rates are problematic. To overcome the observed zero death rates problem, appropriate probability models are used. Using these models, observed zero mortality rates are replaced by the corresponding expected values. This enables logarithmic transformations and, in some cases, the fitting of the eight-parameter Heligman-Pollard model to produce mortality estimates for ages 0-130 years, a procedure illustrated in terms of mortality data from several states.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Voulgaraki A,Wei R,Kedem Bdoi
10.1002/sim.6385subject
Has Abstractpub_date
2015-05-20 00:00:00pages
1940-52issue
11eissn
0277-6715issn
1097-0258journal_volume
34pub_type
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