Suppr超能文献

胃肠道癌症负担与信息不完整问题;如何补充数据?

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

作者信息

Sharifian Abdolhamid, Pourhoseingholi Mohamad Amin, Baghestani Ahmadreza, Hajizadeh Nastaran, Gholizadeh Sepideh

机构信息

Gandy General Hospital, Tehran, Iran.

Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

Gastroenterol Hepatol Bed Bench. 2016 Winter;9(1):12-7.

Abstract

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.

摘要

癌症登记是衡量人群癌症负担的重要来源。然而,在实际操作中,经常会出现错误登记患者的情况,或者数据项记录不准确或根本未记录。而且这些登记的过程和质量在不同国家也有所不同。在本文中,我们简要讨论了一些统计技术,包括死亡率和发病率分析模型(MIAMOD)、患病率和发病率分析模型(PIAMOD)、贝叶斯推理和捕获再捕获方法,这些技术为重新校正关于胃肠道癌症的不完整或错误分类的癌症统计数据提供了工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6aa/4702036/7428dfebbbca/GHFBB-9-12-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验