| Literature DB >> 12347229 |
Abstract
"It is often observed that mortality projections are more pessimistic when disaggregated by cause of death. This article explores the generality and strength of this relationship under a variety of forecasting models. First, a simple measure of the pessimism inherent in cause-based mortality forecasts is derived. Second, it is shown that the pessimism of cause-based forecasts can be approximated using only data on the distribution of deaths by cause in two pervious time periods. Third, using Japanese mortality data during 1951-1990, the analysis demonstrates that the pessimism of cause-based forecasts can be attributed mainly to observed trends in mortality due to cancer and heart disease, with smaller contribution due to trends in stroke (women only), pneumonia/bronchitis, accidents, and suicide. The last point requires the important qualification, however, that observed trends in cancer and heart disease may be severely biased due to changes in diagnostic practice." (SUMMARY IN FRE) excerptEntities:
Keywords: Asia; Causes Of Death; Data Aggregation; Demographic Factors; Developed Countries; Eastern Asia; Error Sources; Estimation Technics; Japan; Mathematical Model; Measurement; Models, Theoretical; Mortality; Population; Population Dynamics; Population Projection; Reliability; Research Methodology
Mesh:
Year: 1995 PMID: 12347229 DOI: 10.1080/08898489509525409
Source DB: PubMed Journal: Math Popul Stud ISSN: 0889-8480 Impact factor: 0.720