Literature DB >> 744823

The redundant factor method and bladder cancer mortality.

J C Barrett.   

Abstract

Of the three factors, age at death, epoch of death, and epoch of birth, one seems almost superfluous. It may nevertheless be worthwhile to include all three in a mortality analysis, allowing for the constraints that the redundancy imposes. This procedure is applied to data for England and Wales on bladder cancer mortality from 1951 to 1970.

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Mesh：

Year:  1978        PMID： 744823      PMCID： PMC1060969          DOI： 10.1136/jech.32.4.314

Source DB:  PubMed          Journal:  J Epidemiol Community Health (1978)        ISSN： 0141-7681


  4 in total

1.  Demonstration of nitrosamines in human urine: preliminary observations on a possible etiology for bladder cancer in association with chronic urinary tract infections.

Authors:  R M Hicks; C L Walters; I Elsebai; A B Aasser; M E Merzabani; T A Gough
Journal:  Proc R Soc Med       Date:  1977-06

2.  Bladder cancer mortality in England and Wales in relation to cigarette smoking and saccharin consumption.

Authors:  B Armstrong; R Doll
Journal:  Br J Prev Soc Med       Date:  1974-11

3.  Age, time and cohort factors in mortality from cancer of the cervix.

Authors:  J C Barrett
Journal:  J Hyg (Lond)       Date:  1973-06

4.  Smoking and cancer of the lower urinary tract.

Authors:  P Cole; R R Monson; H Haning; G H Friedell
Journal:  N Engl J Med       Date:  1971-01-21       Impact factor: 91.245
  4 in total
  5 in total

1.  Modelling BSE trend over time in Europe, a risk assessment perspective.

Authors:  Christian Ducrot; Carole Sala; Giuseppe Ru; Aline de Koeijer; Hazel Sheridan; Claude Saegerman; Thomas Selhorst; Mark Arnold; Miroslaw P Polak; Didier Calavas
Journal:  Eur J Epidemiol       Date:  2010-04-13       Impact factor: 8.082

2.  Australian mortality statistics for rheumatoid arthritis 1950-81: analysis of death certificate data.

Authors:  I P Wicks; J Moore; A Fleming
Journal:  Ann Rheum Dis       Date:  1988-07       Impact factor: 19.103

3.  A heuristic solution of the identifiability problem of the age-period-cohort analysis of cancer occurrence: lung cancer example.

Authors:  Tengiz Mdzinarishvili; Simon Sherman
Journal:  PLoS One       Date:  2012-04-04       Impact factor: 3.240

4.  Web tool for estimating the cancer hazard rates in aging.

Authors:  Tengiz Mdzinarishvili; Alexander Sherman; Oleg Shats; Simon Sherman
Journal:  Cancer Inform       Date:  2014-12-17

5.  Time trends in exposure of cattle to bovine spongiform encephalopathy and cohort effect in France and Italy: value of the classical Age-Period-Cohort approach.

Authors:  Carole Sala; Giuseppe Ru
Journal:  BMC Vet Res       Date:  2009-09-18       Impact factor: 2.741
  5 in total

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