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dc.contributor.authorPericchi Guerra, Luis Raúl
dc.contributor.authorFigueroa, Nayda
dc.contributor.authorPerez-Irizarry, Javier
dc.contributor.authorTorres, David
dc.date.accessioned2015-11-21T21:27:56Z
dc.date.available2015-11-21T21:27:56Z
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/123456789/2408
dc.description.abstractRace is not available in Puerto Rican data so the Worksheet for Completeness of Case Ascertainment can not estimate completeness. Cancer data is subject to unavoidable delays. Projections of cancer incidence and mortality provide a valuable indication of the current and future burden. They better inform planning and decision making, and assist in the e cient allocation of resources to meet the future needs for the prevention, detection, and treatment of cancer.Objective: To estimate the present and predict the future (2014) of incidence and mortality for top cancer in Puerto Rico (PR), by gender, age group and primary cancer site to design public policy; and to give an indication of the degree of cancer registry completeness.Methods: Incidence and mortality data from Puerto Rico Central Cancer Registry, were obtained for the years 1985 to 2004. A robust Age-period-cohort (APC) model with autoregressive errors were tted using Bayesian methods.
dc.description.sponsorship1) Comprehensive Cancer Center of the University of Puerto Rico; 2) MERCK; 3) NIH; 4) College of Natural Sciences, UPR
dc.publisherNAACCR North American Association of Central Cancer Registries Annual Meeting
dc.subjectPredictive Epidemiology of Cancer
dc.subjectRobust Bayesian Analysis
dc.titleAge-Period-Cohort Robust Bayesian Models for Projecting Cancer Incidence and Mortality in Puerto Rico
dc.typePresentation


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