Literature DB >> 4029100

U.S. cancer mortality 1950-1978: a strategy for analyzing spatial and temporal patterns.

K G Manton, E Stallard, J P Creason, W B Riggan.   

Abstract

There are a number of technical and statistical problems in monitoring the temporal and spatial variation of local area death rates in the United States for evidence of systematically elevated risks. An analytic strategy is proposed to reduce one of the major statistical concerns, i.e., that of identifying areas with truly elevated mortality risks from a large number of local area comparisons. This analytic strategy involves two stages. The first is a procedure for examining the entire distribution of local area death rates instead of simply selecting high risk "outliers." The second is the development of an analytic procedure to relate the temporal changes in the cross-sectional distribution of local area death rates to models of the disease process operating within the populations in those areas. The procedures are applied to data on cancer mortality for the 3050 counties (or county equivalents) of the United States over the period 1950 to 1978. A number of striking mortality patterns, both within the entire United States and within various regions and states, are identified. For example, perhaps the most persistent finding was that the risk increases in the death rates for respiratory cancer mortality were due to a "catching up" of nonmetropolitan county mortality rates with metropolitan area mortality rates.

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Year:  1985        PMID: 4029100      PMCID: PMC1568590          DOI: 10.1289/ehp.8560369

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  13 in total

1.  A review and critique of some models used in competing risk analysis.

Authors:  M Gail
Journal:  Biometrics       Date:  1975-03       Impact factor: 2.571

2.  A mathematical model for the age distribution of cancer in man.

Authors:  P J Cook; R Doll; S A Fellingham
Journal:  Int J Cancer       Date:  1969-01-15       Impact factor: 7.396

3.  The impact of heterogeneity in individual frailty on the dynamics of mortality.

Authors:  J W Vaupel; K G Manton; E Stallard
Journal:  Demography       Date:  1979-08

4.  A stochastic compartment model representation of chronic disease dependence: techniques for evaluating parameters of partially unobserved age inhomogeneous stochastic processes.

Authors:  K G Manton; E Stallard
Journal:  Theor Popul Biol       Date:  1980-08       Impact factor: 1.570

5.  Projecting chronic disease prevalence.

Authors:  K G Manton; K Liu
Journal:  Med Care       Date:  1984-06       Impact factor: 2.983

6.  A population-based model of respiratory cancer incidence, progression, diagnosis, treatment, and mortality.

Authors:  K G Manton; E Stallard
Journal:  Comput Biomed Res       Date:  1982-08

7.  Maximum likelihood estimation of a stochastic compartment model of cancer latency: lung cancer mortality among white females in the U.S.

Authors:  K G Manton; E Stallard
Journal:  Comput Biomed Res       Date:  1979-08

8.  Developing clues to environmental cancer: a stepwise approach with the use of cancer mortality data.

Authors:  W J Blot; J F Fraumeni; T J Mason; R N Hoover
Journal:  Environ Health Perspect       Date:  1979-10       Impact factor: 9.031

9.  Mesothelioma mortality in asbestos workers: implications for models of carcinogenesis and risk assessment.

Authors:  J Peto; H Seidman; I J Selikoff
Journal:  Br J Cancer       Date:  1982-01       Impact factor: 7.640

10.  The age distribution of cancer and a multi-stage theory of carcinogenesis.

Authors:  P ARMITAGE; R DOLL
Journal:  Br J Cancer       Date:  1954-03       Impact factor: 7.640

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  2 in total

1.  Geographic variation in the onset of decline of ischemic heart disease mortality in the United States.

Authors:  S Wing; C Hayes; G Heiss; E John; M Knowles; W Riggan; H A Tyroler
Journal:  Am J Public Health       Date:  1986-12       Impact factor: 9.308

2.  Assessment of spatial variation of risks in small populations.

Authors:  W B Riggan; K G Manton; J P Creason; M A Woodbury; E Stallard
Journal:  Environ Health Perspect       Date:  1991-12       Impact factor: 9.031

  2 in total

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