渡线
置信区间
逻辑回归
协变量
交叉研究
优势比
混淆
常量(计算机编程)
计算机科学
条件logistic回归
统计
可能性
任务(项目管理)
功能(生物学)
数学
医学
人工智能
遗传学
病理
生物
经济
管理
程序设计语言
替代医学
安慰剂
出处
期刊:Annals of Translational Medicine
[AME Publishing Company]
日期:2016-09-01
卷期号:4 (18): 341-341
被引量:20
标识
DOI:10.21037/atm.2016.05.42
摘要
Case-crossover design is a variation of case-control design that it employs persons' history periods as controls. Case-crossover design can be viewed as the hybrid of case-control study and crossover design. Characteristic confounding that is constant within one person can be well controlled with this method. The relative risk and odds ratio, as well as their 95% confidence intervals (CIs), can be estimated using Cochran-Mantel-Haenszel method. R codes for the calculation are provided in the main text. Readers may adapt these codes to their own task. Conditional logistic regression model is another way to estimate odds ratio of the exposure. Furthermore, it allows for incorporation of other time-varying covariates that are not constant within subjects. The model fitting per se is not technically difficult because there is well developed statistical package. However, it is challenging to convert original dataset obtained from case report form to that suitable to be passed to clogit() function. R code for this task is provided and explained in the text.
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