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作 者:周权[1] 李卉[2] 罗美玲[3] 薛静[4] 黎敏[5]
机构地区:[1]常德市第一人民医院科教科,湖南常德415003 [2]常德市第一人民医院肿瘤科,湖南常德415003 [3]长沙市疾病预防控制中心计划免疫科,湖南长沙410001 [4]中南大学公共卫生学院流行病与卫生统计系,湖南长沙410078 [5]南昌大学第二附属医院神经内科,江西南昌330006
出 处:《现代预防医学》2015年第5期789-794,共6页Modern Preventive Medicine
摘 要:目的介绍如何利用R软件中实现剂量反应关系的Meta分析。方法拟通过实例数据的演示,在R软件中,先利用Metafor程序包进行探索性二分类Meta分析,在得出意义结果的基础上再利用dosresmeta程序包进行剂量反应的Meta分析,并绘制非线性(和)或线性剂量反应曲线结果R软件分析结果显示:饮酒是结直肠癌的危险因素,剂量反应关系的非线性检验P值处于临界水平(0.046)。非线性剂量反应模型显示:相对于最低饮酒量(0g/天),每日饮酒20g、40g、60g发生结直肠癌的相对危险度为:1(0.93~1.1)、1.3(1.13~1.4)、1.5(1.26~1.9);线性剂量反应模型显示:在最低饮酒量(0g/天)的基础上,每增加12g,发生结直肠癌的危险增加8%,非线性或线性剂量反应曲线图形基本相似。结论R软件可以实现剂量反应关系的Meta分析,功能强大,实用性强。Objective To implement the dose-response for meta-analysis in R software. Methods The code was illustrated with examples of alcohol intake and colorectal cancer. Firstly, the metafor package was used to explore binary classification meta analysis. Under the condition of a significant RR value, we conducted the dose-response meta-analysis with dosresmeta program and drew the linear and nonlinear dose-response curves. Results The results analyzed by R show that alcohol intake is a risk factor for colorectal cancer, and the P value for non-linearity test of dose-response relationship is 0.046. The non-linearity model shows that compared with non-drinkers, the pooled RR values of colorectal cancer were 1 (0.93-1.1), 1.3 (1.13-1.4), 1.5 (1.26-1.9) for 20, 40, 60gram/day, respectively; The linearity model shows that the risk of colorectal cancer increased 8% with a 12-g/day increase for the alcohol intake. There was no significant difference between the linear and nonlinear dose-response curves. Conclusion Dose-response meta-analysis can be implemented in R software, and it is powerful and practical.
分 类 号:R195[医药卫生—卫生统计学]
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