Applications of the cumulative rate to kidney cancer statistics in Australia

Janelle Brennan, K. C. Chan, Rebecca Kippen, C. T. Lenard, T. M. Mills, Ruth F. G. Williams

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

Cancer incidence and mortality statistics in two populations are usually compared by using either the age-standardised rate or the cumulative risk by a certain age. We argue that the cumulative rate is a superior measure because it obviates the need for a standard population, and is not open to misinterpretation as is the case for cumulative risk. Then we illustrate the application of the cumulative rate by analysing incidence and mortality data for kidney cancer in Australia using the cumulative rate. Kidney cancer, which is also known as malignant neoplasm of kidney, is one of the less common cancers in Australia. In 2012, approximately 2.5% of all new cases of cancer were kidney cancer, and approximately 2.1% of all cancer related deaths in Australia were due to kidney cancer. There is variation in incidence and mortality by sex, age, and geographical location in Australia. We examine how the cumulative rate performs in measuring the variation of this disease across such sub-populations. This is part of our e ort to promote the use of the cumulative rate as an alternative to the age-standardised rates or cumulative risk. In addition we hope that this statistical investigation will contribute to the aetiology of the disease from an Australian perspective.
Original languageEnglish
Title of host publicationDemography and Health Issues
EditorsChristos H. Skiadas, Carilaos Skiadas
Place of PublicationCham, Switzerland
PublisherSpringer
Chapter9
Pages97-106
Number of pages10
Edition1st
ISBN (Electronic)9783319760025
ISBN (Print)9783319760018
DOIs
Publication statusPublished - 17 May 2018

Publication series

NameThe Springer Series on Demographic Methods and Population Analysis
PublisherSpringer
Volume46
ISSN (Print)1389-6784

Keywords

  • kidney cancer
  • renal cell carcinoma
  • incidence
  • mortality
  • cumulative rate
  • descriptive epidemiology

Cite this

Brennan, J., Chan, K. C., Kippen, R., Lenard, C. T., Mills, T. M., & Williams, R. F. G. (2018). Applications of the cumulative rate to kidney cancer statistics in Australia. In C. H. Skiadas, & C. Skiadas (Eds.), Demography and Health Issues (1st ed., pp. 97-106). (The Springer Series on Demographic Methods and Population Analysis; Vol. 46). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-76002-5_9
Brennan, Janelle ; Chan, K. C. ; Kippen, Rebecca ; Lenard, C. T. ; Mills, T. M. ; Williams, Ruth F. G. / Applications of the cumulative rate to kidney cancer statistics in Australia. Demography and Health Issues. editor / Christos H. Skiadas ; Carilaos Skiadas. 1st. ed. Cham, Switzerland : Springer, 2018. pp. 97-106 (The Springer Series on Demographic Methods and Population Analysis).
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Brennan, J, Chan, KC, Kippen, R, Lenard, CT, Mills, TM & Williams, RFG 2018, Applications of the cumulative rate to kidney cancer statistics in Australia. in CH Skiadas & C Skiadas (eds), Demography and Health Issues. 1st edn, The Springer Series on Demographic Methods and Population Analysis, vol. 46, Springer, Cham, Switzerland, pp. 97-106. https://doi.org/10.1007/978-3-319-76002-5_9

Applications of the cumulative rate to kidney cancer statistics in Australia. / Brennan, Janelle; Chan, K. C. ; Kippen, Rebecca; Lenard, C. T.; Mills, T. M.; Williams, Ruth F. G.

Demography and Health Issues. ed. / Christos H. Skiadas; Carilaos Skiadas. 1st. ed. Cham, Switzerland : Springer, 2018. p. 97-106 (The Springer Series on Demographic Methods and Population Analysis; Vol. 46).

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

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Brennan J, Chan KC, Kippen R, Lenard CT, Mills TM, Williams RFG. Applications of the cumulative rate to kidney cancer statistics in Australia. In Skiadas CH, Skiadas C, editors, Demography and Health Issues. 1st ed. Cham, Switzerland: Springer. 2018. p. 97-106. (The Springer Series on Demographic Methods and Population Analysis). https://doi.org/10.1007/978-3-319-76002-5_9