Searching for genetical cancer risks using a database of familial cancer: part II
2000 (English)Report (Other academic)
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.
familial cancer, hierarchic model, maximum likelihood, MCMC
Probability Theory and Statistics
IdentifiersURN: urn:nbn:se:umu:diva-25138OAI: oai:DiVA.org:umu-25138DiVA: diva2:228970
Distributor:Institutionen för matematik och matematisk statistik, 90187, Umeå