GLOBOCAN数据库架构介绍及数据分析方法  

GLOBOCAN database architecture introduction and data analysis method

作　　者：郭晓娟[1,2] 田国祥 李燕[4] 屈彦 李青莉[1] 吕军[2,5] Guo Xiaojuan;Tian Guoxiang;Li Yan;Qu Yan;Li Qingli;Lyu Jun(Department of Neurology,The First Affiliated Hospital of Xi'an Jiaotong University,Xi'an,710061,People's Republic of China;不详)

机构地区：[1]西安交通大学第一附属医院神经内科,西安710061 [2]西安交通大学医学部公共卫生学院,西安710061 [3]解放军总医院第七医学中心,北京100700 [4]中国人民解放军空军第九八六医院,西安710054 [5]暨南大学附属第一医院临床研究部,广州510630

出　　处：《中国循证心血管医学杂志》2020年第7期775-777,共3页Chinese Journal of Evidence-Based Cardiovascular Medicine

基　　金：国家社会科学基金一般项目(16BGL183)。

摘　　要：癌症是影响人类健康的主要疾病之一,其发病率和死亡率等数据的准确统计对于开展疾病预防及制定干预策略极为重要。GLOBOCAN是国际癌症研究机构(International Agency for Research on Cancer,IARC)的一个项目,统计了世界上185个国家/地区中的36种癌症发病率、死亡率和患病率等相关数据,并且数据会不断更新,为研究者做疾病预测及疾病负担分析提供了宝贵的资料。本文通过对GLOBOCAN数据库架构及数据分析方法的详细介绍,帮助需要的研究者快速获取数据库相关知识,高效快捷地开展相关研究。Cancer is one of the main diseases affecting human health.Accurate statistics of incidence and mortality data are extremely important for disease prevention and intervention strategies.GLOBOCAN is a project of the International Agency for Research on Cancer(IARC),which collects statistics on the incidence,mortality,and prevalence of 36 types of cancer in 185 countries or regions in the world.Continuous updates provide valuable data for researchers to make disease prediction and disease burden analysis.This article through the detailed introduction of the GLOBOCAN database architecture and data analysis methods,to help researchers in need to quickly acquire database-related knowledge and carry out related research efficiently and quickly.

关 键 词：GLOBOCAN 数据库架构 数据分析 

分 类 号：R4[医药卫生—临床医学]