| dc.creator | Pericchi Guerra, Luis Raúl | |
| dc.creator | Figueroa, Nayda | |
| dc.creator | Perez-Irizarry, Javier | |
| dc.creator | Torres, David | |
| dc.date | 2012-01-18T02:40:00Z | |
| dc.date | 2012-01-18T02:40:00Z | |
| dc.date | 2011 | |
| dc.date.accessioned | 2017-03-17T16:53:23Z | |
| dc.date.available | 2017-03-17T16:53:23Z | |
| dc.identifier | http://hdl.handle.net/10586 /145 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/647302 | |
| dc.description | Race 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 | 1) Comprehensive Cancer Center of the University of Puerto Rico; 2) MERCK; 3) NIH; 4) College of Natural Sciences, UPR | |
| dc.publisher | NAACCR North American Association of Central Cancer Registries Annual Meeting | |
| dc.subject | Predictive Epidemiology of Cancer | |
| dc.subject | Robust Bayesian Analysis | |
| dc.title | Age-Period-Cohort Robust Bayesian Models for Projecting Cancer Incidence and Mortality in Puerto Rico | |
| dc.type | Presentation | |
