Positive association among three binary variables and cross-product ratios

成果类型:
Article
署名作者:
Fienberg, Stephen E.; Kim, Sung-Ho
署名单位:
Carnegie Mellon University; Korea Advanced Institute of Science & Technology (KAIST)
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
DOI:
10.1093/biomet/asm075
发表日期:
2007
页码:
9991005
关键词:
Causal Inference CLASSIFICATIONS statistics models
摘要:
We show that, when the three-way association level among the three binary variables, X, U-1 and U-2 is fixed, D-P = pr( X = 1 | U-1 = 1) - pr( X = 1 | U-1 = 0) increases as the cross-product ratio of U-1 and U-2 increases under the assumption that X is positively associated with U-1 and U-2. We then discuss some implications of this property.
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