A MULTIVARIATE ANALYSIS OF RISK OF CORONARY HERT DISEASE IN FRAMINGHAM
A MULTIVARIATE ANALYSIS OF RISK OF CORONARY HERT DISEASE IN FRAMINGHAM
复制标题
DOI：
10.1016/0021-9681(67)90082-3
复制
发表时间：
1967-01-01
期刊：
影响因子：
--
通讯作者：
KANNEL, W
中科院分区：
文献类型：
--
作者：
TRUETT, J;CORNFIELD, J;KANNEL, W
这种规模的研究人群并不常见，因此人们不得不寻求一种比检查多重交叉分类结果更有效的分析形式。科恩菲尔德提出了一种这样的方法。[2]他考虑了k个变量的情况，比如x1，x2. xk，并假设那些会（CHD）和那些不会（NCHD）发展疾病的人的多变量频率分布可以由两个已知的数学函数表示，比如fl（x1. XJ and fu（x1... xk）。在这种情况下，概率P（xl. xk），由变量值xl. xk会患上这种疾病，
Study populations of this size are not often available and one is consequently led to seek a more powerful form of analysis than inspection of the results of a multiple cross-classification. One such method was suggested by CORNFIELD.[2] He considered the case of k variables, say xl, x2... xk and assumed that the multivariate frequency distributions of those who would (CHD) and those who would not (NCHD) develop the disease could be represented by two known mathematical functions, say fl (x1... XJ and fu (x1... xk). In that case the probability P (xl... xk), that an individual characterized by the variable values xl... xk would develop the disease is given by