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Searching for genetical cancer risks using a database of familial cancer: part II
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
2000 (English)Report (Other academic)
Abstract [en]

The subject considered is estimation of cancer risks assuming occurrence of recessive defects in some large population. Inheritance of the recessive defect is discussed for two generations, parents and children. A hierarchic model representing the distribution of the number of cancer diagnoses among children in a family is presented. The aim is to estimate two different cancer risks, one caused by environmental factors and the other by inherited genetical defects. The proportion of individuals in the population carrying the recessive defect is also of interest. The data assumed is diagnoses recorded in a database of familial cancer. To fit the model an application to MCMC is proposed. The idea is to simulate values from the posterior distribution of the model parameters when the posterior is defined as proportional to the likelihood function. By visualizing the simulated values we find parameter values supported by the observed data.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2000. , 31 p.
Keyword [en]
familial cancer, hierarchic model, maximum likelihood, MCMC
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-25138OAI: oai:DiVA.org:umu-25138DiVA: diva2:228970
Distributor:
Institutionen för matematik och matematisk statistik, 90187, Umeå
Available from: 2009-08-10 Created: 2009-08-10 Last updated: 2012-01-31Bibliographically approved
In thesis
1. Some Statistical Aspects of Cancer Risk Estimation
Open this publication in new window or tab >>Some Statistical Aspects of Cancer Risk Estimation
2000 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2000. 13 p.
Keyword
Cancer risk, competing risk model, prediction, familial cancer, hierarchic model, method of moments, maximum likelihood, MCMC
Identifiers
urn:nbn:se:umu:diva-19839 (URN)
Distributor:
Matematik och matematisk statistik, 90187, Umeå
Presentation
(English)
Opponent
Supervisors
Available from: 2009-08-06 Created: 2009-03-11 Last updated: 2009-08-10Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf