Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?

Cancer registration is an important source for measuring the burden of cancer in a population. In practice, however, quite frequently incorrect patients are registered or data items can be inaccurately recorded or not recorded at all. Also the process or quality of these registrations varies among c...

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Autores principales: Sharifian, Abdolhamid, Pourhoseingholi, Mohamad Amin, Baghestani, Ahmadreza, Hajizadeh, Nastaran, Gholizadeh, Sepideh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shaheed Beheshti University of Medical Sciences 2016
Materias:
Short Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702036/
https://www.ncbi.nlm.nih.gov/pubmed/26744609
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author Sharifian, Abdolhamid
Pourhoseingholi, Mohamad Amin
Baghestani, Ahmadreza
Hajizadeh, Nastaran
Gholizadeh, Sepideh
author_facet Sharifian, Abdolhamid
Pourhoseingholi, Mohamad Amin
Baghestani, Ahmadreza
Hajizadeh, Nastaran
Gholizadeh, Sepideh
author_sort Sharifian, Abdolhamid
collection PubMed
description Cancer registration is an important source for measuring the burden of cancer in a population. In practice, however, quite frequently incorrect patients are registered or data items can be inaccurately recorded or not recorded at all. Also the process or quality of these registrations varies among countries. In this paper, we briefly discussed some statistical techniques including; Mortality and Incidence Analysis Model (MIAMOD), Prevalence and Incidence Analysis Model (PIAMOD), Bayesian Inference and Capture-recapture methods, which provide tools to re-correct the incomplete or misclassified cancer statistics with regards to gastrointestinal cancers.
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spelling pubmed-47020362016-01-07 Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data? Sharifian, Abdolhamid Pourhoseingholi, Mohamad Amin Baghestani, Ahmadreza Hajizadeh, Nastaran Gholizadeh, Sepideh Gastroenterol Hepatol Bed Bench Short Review Cancer registration is an important source for measuring the burden of cancer in a population. In practice, however, quite frequently incorrect patients are registered or data items can be inaccurately recorded or not recorded at all. Also the process or quality of these registrations varies among countries. In this paper, we briefly discussed some statistical techniques including; Mortality and Incidence Analysis Model (MIAMOD), Prevalence and Incidence Analysis Model (PIAMOD), Bayesian Inference and Capture-recapture methods, which provide tools to re-correct the incomplete or misclassified cancer statistics with regards to gastrointestinal cancers. Shaheed Beheshti University of Medical Sciences 2016 /pmc/articles/PMC4702036/ /pubmed/26744609 Text en ©2016 RIGLD, Research Institute for Gastroenterology and Liver Diseases This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Review
Sharifian, Abdolhamid
Pourhoseingholi, Mohamad Amin
Baghestani, Ahmadreza
Hajizadeh, Nastaran
Gholizadeh, Sepideh
Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?
title Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?
title_full Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?
title_fullStr Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?
title_full_unstemmed Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?
title_short Burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?
title_sort burden of gastrointestinal cancers and problem of the incomplete information; how to make up the data?
topic Short Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702036/
https://www.ncbi.nlm.nih.gov/pubmed/26744609
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