Literature DB >> 913728

What difference would it make if cancer were eradicated? An examination of the Taeuber paradox.

N Keyfitz.   

Abstract

The immediate effect of discovering a way to cure cancer would be a reduction in the number of deaths in the United States by the number of people now dying from that cause. Within a short time, however, deaths from other causes would increase, and the net long-term effect would be relatively small. A parameter is derived that measures how much the expectation of life is increased by a marginal reduction in any cause of death. That parameter is additive in the several causes and has other advantages, though it does not avoid the assumption of independence.

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Year:  1977        PMID: 913728

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  3 in total

1.  Measures of variability in age-structured populations.

Authors:  L Demetrius
Journal:  J Theor Biol       Date:  1976-12       Impact factor: 2.691

2.  Life table techniques for multiple-cause mortality.

Authors:  K G Manton; D H Tolley; S S Poss
Journal:  Demography       Date:  1976-11

3.  Effect of mortality change on stable population parameters.

Authors:  S H Preston
Journal:  Demography       Date:  1974-02
  3 in total
  28 in total

1.  Gains in life expectancy after elimination of major causes of death: revised estimates taking into account the effect of competing causes.

Authors:  J P Mackenbach; A E Kunst; H Lautenbach; Y B Oei; F Bijlsma
Journal:  J Epidemiol Community Health       Date:  1999-01       Impact factor: 3.710

2.  Decomposing change in life expectancy: a bouquet of formulas in honor of Nathan Keyfitz's 90th birthday.

Authors:  James W Vaupel; Vladimir Canudas Romo
Journal:  Demography       Date:  2003-05

3.  National health objectives for the year 2000: the demographic impact of health promotion and disease prevention.

Authors:  M A Stoto; J S Durch
Journal:  Am J Public Health       Date:  1991-11       Impact factor: 9.308

Review 4.  A unifying framework for assessing changes in life expectancy associated with changes in mortality: the case of violent deaths.

Authors:  Hiram Beltrán-Sánchez; Samir Soneji
Journal:  Theor Popul Biol       Date:  2011-05-12       Impact factor: 1.570

Review 5.  Why should radiation oncology do translational research? [corrected].

Authors:  Rut Cañas; Isabel Linares; Ferran Guedea; Miguel Ángel Berenguer
Journal:  Rep Pract Oncol Radiother       Date:  2018-11-12

6.  The entropy of the life table: A reappraisal.

Authors:  Oscar E Fernandez; Hiram Beltrán-Sánchez
Journal:  Theor Popul Biol       Date:  2015-07-15       Impact factor: 1.570

7.  Life table transformations and inequality measures: some noteworthy formal relationships.

Authors:  R Hakkert
Journal:  Demography       Date:  1987-11

8.  Dependent competing risks: a stochastic process model.

Authors:  A I Yashin; K G Manton; E Stallard
Journal:  J Math Biol       Date:  1986       Impact factor: 2.259

9.  A generalization of life expectancy which incorporates the age distribution of the population and its use in the measurement of the impact of mortality reduction.

Authors:  S C Newman
Journal:  Demography       Date:  1986-05

10.  Trade-off between cancer and aging: what role do other diseases play? Evidence from experimental and human population studies.

Authors:  Anatoli I Yashin; Svetlana V Ukraintseva; Igor V Akushevich; Konstantin G Arbeev; Alexander Kulminski; Lucy Akushevich
Journal:  Mech Ageing Dev       Date:  2008-03-25       Impact factor: 5.432

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