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2013年姜晶梅课题组年报
[ 作者:基础医学研究所(院)    来源自:本站原创    点击数:20275    更新时间:2014-3-14    文章编辑:wangluo ]

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统计学方法在医学研究中的应用

姜晶梅 中国协和医科大学流行病与卫生统计学专业博士。 中国医学科学院基础医学研究所、北京协和医学院基础学院,流行病与卫生统计学系教授,博士生导师。现任统计学课程负责人以及统计科研课题组长;Australasian Journal On Ageing杂志编辑部成员;中国博士后基金专家组成员及国家药监局专家审评组成员。研究方向:“统计学方法在医学研究中的应用”。2012年主持或作为分项目支持参与国家自然基金、卫生部专项基金以及科技部基础性工作专项等项目。

 

2013年重要成果(Highlights)
论著(Publications)
[1] 厚磊,  姜晶梅. 高血压易感基因关联研究的现状与统计学对策. 中华高血压杂志. 2013;21(6):526-530.
[2] Jingmei Jiang, et al.  Sociodemographic patterning of risk factors for cardiovascular disease in three isolated subgroups of Uygur Population living in extreme climate conditions in Xinjiang, China. BMI open 2013.3(3):
[3] Han W, Jiang J, Li J, Zeng X, Zou X, Wu Y, Chen Y, Zhao P, Hou L, Pang  H, Liu B.Contributions of major smoking-related diseases to reduction  in life expectancy associated with smoking in Chinese adults: a cross -sectional study.BMC Public Health. 2013 Dec 9;13:1147. doi:  10.1186/1471-2458-13-1147.

 

 

高血压易感基因关联研究的现状与统计学对策
厚磊,姜晶梅

    原发性高血压(essential hypertension, EH)易感基因关联研究是近20年来人类高血压研究的主要方向之一[1-2],其研究结果对于阐释EH病因和发展高血压防治手段均具有非常重要的理论意义和现实意义。EH关联研究近年来已经取得了突飞猛进的进展,但也不得不承认,“科学一大步,医学一小步[3]”,目前世界主要高血压防治指南尚无应用EH易感基因的相关推荐[4-7],在EH关联研究力图在EH病因上寻求进一步突破的同时,如何将现有成果应用在EH防治领域,使科学证据及早、有效地转化为医学获益已经成为拷问研究者的一大难题。本文试图通过对EH关联研究现状的分析总结对EH关联研究所面临的问题及可能的统计学对策加以阐述。
    logistic线性回归和多重线性回归等传统多因素分析模型受到维度的严重限制,难以适应大量自变量的多维交互和高维交互,而存在这些交互效应的个体数可能极为稀少;更重要的是,更多的时候,主效应往往很小,而交互效应对因变量的影响是实质性的;这都是造成参数估计与人群推论错误的可能原因。因此,探索海量数据的降维方法已经成为遗传统计研究的重要方向之一。Tricia等列举了S-合计统计量法、多元动态回归曲线法(MARS)、分类与回归树法(CART)、多因素降维法(MDR)等探讨交互效应的方法,尽管当前并无公认的处理上述问题的理想方法,尝试或联合不同的方法分析相同数据集对发现真正的阳性位点可能是有益的,但最终还是要冀希望于有效克服高维空间的“维数困扰”和对高阶交互作用网状结构以及基因与表型通路问题的澄清,未来需要引入更多的数学和机器学习方法予以突破。
总之,EH易感基因研究发展迅猛,但相关的统计学方法相对滞后,不但限制了病因学研究的进一步深入,也成为病因学研究成果快速有效转化为防治效果的重要障碍,亟需加以改善和提升。
    总之,EH易感基因研究发展迅猛,但相关的统计学方法相对滞后,不但限制了病因学研究的进一步深入,也成为病因学研究成果快速有效转化为防治效果的重要障碍,亟需加以改善和提升。

 

Application of Statistical Methods in
Medical Research

Dr. Jingmei Jiang, professor in department of epidemiology and biostatistics, doctoral tutor in Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, PhD in Peking Union Medical College. She is the current head of statistics courses and Principal Investigator of statistical research, editorial board member of Australasian Journal On Ageing, expert group member of National Science Foundation for Post-doctoral Scientists of China and review group member of State Food and Drug Administration. She focuses her research on the application of Statistical methods in medical research. In 2012, she was in charge of projects of National Natural Science Foundation of China, Special Program Foundation of Ministry of Health, and Special Program Foundation for Basic Research of Ministry of Science and Technology of China.

 

 

Contributions of major smoking-related diseases to reduction in life expectancy associated with smoking in Chinese adults: a cross-sectional study
Wei Han, Jingmei Jiang, Junyao Li, Xianjia Zeng, Xiaonong Zou, Yanping Wu, Yuanli Chen, Ping Zhao, Lei Hou, Haiyu Pang and Boqi Liu

Background: Cigarette smoking is a prominent risk factor for a wide range of diseases. The current study aimed to evaluate the impact of smoking on deaths from major smoking-related diseases (neoplasms, vascular diseases and respiratory diseases) in Chinese adults by estimating the potential gains in life expectancy (LE) that would accrue from eliminating deaths from these diseases, and to determine the contribution of each disease to the reduction in LE associated with smoking.
Methods: Two cohorts of Chinese smokers and non-smokers were constructed from a retrospective national mortality survey that had been conducted in 1989–1991 and included one million all-cause deaths among adults during 1986–1988 in 103 geographical regions. For each cohort, potential gains in LE by eliminating deaths from each major smoking-related disease were estimated. The contributions of each disease to smoking-associated reduction in LE were assessed using the LE decomposition approach.
Results: Among the major smoking-related diseases, it was estimated that elimination of vascular diseases would provide the greatest potential gain in LE (years), regardless of smoking status. The gains for smokers versus non-smokers in populations of urban men, urban women, rural men and rural women aged 35 years were 3.5 vs. 4.3, 3.8 vs. 4.1, 2.4 vs. 3.0, and 2.6 vs. 2.9 years, respectively. Respiratory diseases contributed most to smoking-associated LE reductions in urban women, rural men and rural women of 43.6%, 46.4%, and 62.9%, respectively. In urban men, neoplasms contributed most to smoking-associated LE reduction, their contribution being estimated as 45.8%.
Conclusions: Respiratory disease has the greatest influence on the LE reduction associated with smoking. Thus, smoking prevention could significantly reduce deaths from respiratory disease and improve LE.

工作人员简介(Lab Staff)

徐涛 PhD 副教授
薛芳 PhD 讲师
韩伟 PhD 助理研究员
韩少梅 主任技师(返聘)

研究生(Graduate Students)
庞海玉 2011级博士研究生
厚磊 2011级博士研究生
张彪 2012级博士研究生

Table 1 Sex- and area-specific numbers of subjects in the base population and annual all-cause mortality rates by smoking status during 1986–1988

 

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