scholarly journals Estimating Completeness of Cancer Registration in Iran with Capture-Recapture Methods

2016 ◽  
Vol 17 (sup3) ◽  
pp. 93-99 ◽  
Author(s):  
Gohar Mohammadi ◽  
Mohammad Esmaeil Akbari ◽  
Yadolah Mehrabi ◽  
Ali Ghanbari Motlagh ◽  
Elham Partovi Pour ◽  
...  
Keyword(s):  
Cancer Registration ◽  
Capture Recapture

Estimating completeness of cancer registration in Saarland/Germany with capture-recapture methods

1994 ◽  
Vol 30 (11) ◽  
pp. 1659-1663 ◽  
Author(s):  
H. Brenner ◽  
C. Stegmaier ◽  
H. Ziegler
Keyword(s):  
Cancer Registration ◽  
Capture Recapture

scholarly journals Childhood cancer registration in Britain: capture-recapture estimates of completeness of ascertainment

2011 ◽  
Vol 104 (7) ◽  
pp. 1227-1233 ◽  
Author(s):  
M E Kroll ◽  
M F G Murphy ◽  
L M Carpenter ◽  
C A Stiller
Keyword(s):  
Childhood Cancer ◽  
Cancer Registration ◽  
Capture Recapture

scholarly journals Estimating the Completeness of Gastric Cancer Registration in Ardabil/Iran by a Capture-Recapture Method using Population-Based Cancer Registry Data

2015 ◽  
Vol 16 (5) ◽  
pp. 1981-1986 ◽  
Author(s):  
Mahmoud Khodadost ◽  
Parvin Yavari ◽  
Masoud Babaei ◽  
Alireza Mosavi-Jarrahi ◽  
Fatemeh Sarvi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Registry ◽  
Population Based ◽  
Registry Data ◽  
Cancer Registration ◽  
Cancer Registry Data ◽  
Capture Recapture

An application of capture-recapture methods to the estimation of completeness of cancer registration

1988 ◽  
Vol 41 (5) ◽  
pp. 495-501 ◽  
Author(s):  
Sylvia C. Robles ◽  
Loraine D. Marrett ◽  
E. Aileen Clarke ◽  
Harvey A. Risch
Keyword(s):  
Cancer Registration ◽  
Capture Recapture

Capture recapture électroniques en phosphorescence

1952 ◽  
Vol 12 (7) ◽  
pp. 749-801 ◽  
Author(s):  
Daniel Curie
Keyword(s):  
Capture Recapture

Towards the elimination of occupational cancers in the Russian Federation: cancer research for cancer prevention (Part 1)

2019 ◽  
pp. 104-106
Author(s):  
J. Schüz ◽  
A. Olsson
Keyword(s):  
Cancer Research ◽  
Russian Federation ◽  
Large Scale ◽  
Cancer Control ◽  
Occupational Exposures ◽  
Cancer Registration ◽  
Occupational Cancer ◽  
Control Plan ◽  
The Russian Federation ◽  
Incident Cases

Cancer is increasing worldwide. Th e Russian Federation is no exception in this regard with an increase of the total number of new cases predicted to rise from 529,062 in 2018 to 587,622 in 2040. Th e present high burden and increase in incident cases at the same time increases the pressure on healthcare infrastructure and related costs. Th us, primary and secondary prevention of cancer becomes essential. Occupational cancers related to exposure at the workplace are among the preventable cancer burden, due to the modifi ability of the risk through minimisation of occupational exposures and adequate worker protection. For the Russian Federation, some 20,000 cancers each year may be att ributable to occupation, but systematic recording is currently lacking. As information is also lacking on the absolute eff ect of various occupational carcinogens in the Russian workforce due to lack of large-scale epidemiological studies and because for many suspected occupational carcinogens the evidence may become stronger, the true burden may in fact be higher. Th e Russian Federation appears particularly suitable for research into occupational cancer given the sizable workforce, the heavy industr ialisation as well as the good documentation and workplace surveillance over time, so that results are both informative for the situation in the Russian Federation and on a global scale. Five challenging but not unfeasible steps of nationwide population-based cancer registration, development of a legal framework for record linkage of registries and data collections, recording of occupational cancers, large scale epidemiological occupational cancer research and rigorous implementation of worker protection on known carcinogens, lead the way to a continuously updated cancer control plan that includes the elimination of occupational cancer in the Russian Federation.

An Urn Model for the Multi-Sample Capture/Recapture Sequential Tagging Process.

1987 ◽  
Author(s):  
Jose G. Leite ◽  
Carlos A. De Braganca Pereira
Keyword(s):  
Urn Model ◽  
Capture Recapture
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