Literature DB >> 3988427

Using age, period and cohort models to estimate future mortality rates.

C Osmond.   

Abstract

A description of a table of age- and period-specific mortality rates may be provided by the use of age, period and cohort models. These may be extended to produce estimates of future mortality rates that allow for trends related to both birth cohort and period of death. Lung cancer mortality rates for women in England and Wales are used as an example. The period 1951-70 is used to estimate mortality rates for 1971-80 and comparisons are made with the observed values. The technique is then used to estimate mortality rates until the year 2000 based upon 1951-80. The range of conditions for which this method is appropriate is discussed.

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Year:  1985        PMID: 3988427     DOI: 10.1093/ije/14.1.124

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  21 in total

1.  Projections of cervical cancer mortality and incidence in New Zealand: the possible impact of screening.

Authors:  B Cox; D C Skegg
Journal:  J Epidemiol Community Health       Date:  1992-08       Impact factor: 3.710

2.  Predicting mortality from cancer of the uterine cervix from 1991-2001.

Authors:  M Murphy; C Osmond
Journal:  J Epidemiol Community Health       Date:  1992-06       Impact factor: 3.710

3.  Trends in U.S. adult chronic disease mortality, 1960-1999: age, period, and cohort variations.

Authors:  Yang Yang
Journal:  Demography       Date:  2008-05

4.  Monitoring and projecting cancer incidence in Saarland, Germany, based on age-cohort analyses.

Authors:  H Brenner; H Ziegler
Journal:  J Epidemiol Community Health       Date:  1992-02       Impact factor: 3.710

5.  Estimating life expectancy using an age-cohort model in Taiwan.

Authors:  W C Lee; R L Hsieh
Journal:  J Epidemiol Community Health       Date:  1996-04       Impact factor: 3.710

6.  An evaluation of screening policies for cervical cancer in England and Wales using a computer simulation model.

Authors:  D M Parkin; S M Moss
Journal:  J Epidemiol Community Health       Date:  1986-06       Impact factor: 3.710

7.  New forecasting methodology indicates more disease and earlier mortality ahead for today's younger Americans.

Authors:  Eric N Reither; S Jay Olshansky; Yang Yang
Journal:  Health Aff (Millwood)       Date:  2011-06-23       Impact factor: 6.301

8.  Age-Specific Variation in Adult Mortality Rates in Developed Countries.

Authors:  Hui Zheng; Y Claire Yang; Kenneth C Land
Journal:  Popul Res Policy Rev       Date:  2015-11-19

9.  A simulation to evaluate screening for Helicobacter pylori infection in the prevention of peptic ulcers and gastric cancers.

Authors:  Ruth Davies; David Crabbe; Paul Roderick; Jonathan R Goddard; James Raftery; Praful Patel
Journal:  Health Care Manag Sci       Date:  2002-11

10.  Long term trends and the future gastric cancer mortality in Korea: 1983~2013.

Authors:  Yunhee Choi; Jin Gwack; Yeonju Kim; Jisuk Bae; Jae-Kwan Jun; Kwang-Pil Ko; Keun-Young Yoo
Journal:  Cancer Res Treat       Date:  2006-02-28       Impact factor: 4.679

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