Bowel cancer demographics

Chan, K. C. and Lenard, C. T. and Mills, T. M. and Williams, Ruth F. G. (2015) Bowel cancer demographics. In: Statistical, stochastic and data analysis methods and applications. International Society for the Advancement of Science and Technology, Greece, pp. 159-171. ISBN 978-618-5180-07-2


Bowel cancer is a major contributor to the burden of disease and injury in Australia. The purpose of this paper is to demonstrate the application of the cumulative rate to Australian bowel cancer statistics. In particular we will investigate the effects of sex, location and time of incidence and mortality of bowel cancer. A feature of this paper is that it uses the cumulative rate rather than the usual age-standardised rates as a basis for comparing incidence and mortality between populations. The cumulative rate gives the same sort of information as the age-standardised rate without the need to introduce a standard population. The results of this paper enhance our understanding of the impact of bowel cancer on Australia, and add to the methodology of descriptive epidemiology of cancer.

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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: This is chapter was presented at a conference at 16th Applied Stochastic Models and Data Analysis (ASMDA) International Conference held in Piraeus, Greece, 30 June - 4 July, 2015. Restricted access to published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 09 May 2018 00:40
Last Modified: 21 Sep 2018 03:00
Uncontrolled Keywords: epidemiology, demography, cancer, bowel, colorectal, cumulative rate, incidence, mortality, Australia
Fields of Research : 08 Information and Computing Sciences > 0807 Library and Information Studies > 080702 Health Informatics
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences

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