Trends in breast, ovarian and cervical cancer incidence in Mumbai, India over a 30-year period, 1976-2005: an age-period-cohort analysis
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The changing risk profile in successive generations – improved education, higher socioeconomic status, later age at marriage and at first child, and lower parity – may in combination partially explain the diverging generational changes in breast and cervical cancer in Mumbai in the last decades.Abstract:
Trends in breast, ovarian and cervical cancer incidence in Mumbai, India over a 30-year period, 1976–2005: an age–period–cohort analysisread more
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References
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Cancer Incidence in Five Continents
Freddie Bray,J. Ferlay,Mathieu Laversanne,David H. Brewster,C. Gombe Mbalawa,B. Kohler,Marion Piñeros,Eva Steliarova-Foucher,Rajaraman Swaminathan,Sebastien Antoni,Isabelle Soerjomataram,David Forman +11 more
TL;DR: The aim of this study was to establish a database of histological groups and to provide a level of consistency and quality of data that could be applied in the design of future registries.
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TL;DR: In this paper, the authors examined whether the relationship of body mass index (BMI) with serum sex hormone concentrations could be explained by the relationship between BMI and estradiol levels.
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Models for temporal variation in cancer rates. II: Age–period–cohort models
David Clayton,E Schifflers +1 more
TL;DR: The age-period-cohort model is described and its ambiguities surrounding regular trends 'intensify' are shown and methods for presenting the results of analyses based upon this model which minimize the serious risk of misleading implications are recommended.
Journal ArticleDOI
Models for temporal variation in cancer rates. I: Age-period and age-cohort models.
David Clayton,E. Schifflers +1 more
TL;DR: The modern approach to the analysis of data which justifies traditional methods of age standardization in terms of the multiplicative risk model is reviewed and the serious difficulties which attend the interpretation of regular trends are demonstrated.
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