𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Copositive matrices and Simpson's paradox

✍ Scribed by Petros Hadjicostas


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
512 KB
Volume
264
Category
Article
ISSN
0024-3795

No coin nor oath required. For personal study only.

✦ Synopsis


Given a finite population characterized by two attributes A and B, and a factor C with n levels, one case of Simpson's paradox (SP) occurs when A and B are positively associated within each level of C, but they are negatively associated or independent in the population. Given an attribute K, let K be its complement. Assume the conditional proportions of the combinations of attributes AB, AB, AB, A B, respectively, within each level of C are known to the analyst, but the proportions of the n subpopulations (corresponding to the n levels of C) in the population are not known to the analyst. The problem is to find conditions under which SP occurs, and find the probability of SP. The first part of the problem is solved completely for all n >/2 using properties of copositive matrices, and the theorems of . The second part of the problem is solved partially.


πŸ“œ SIMILAR VOLUMES


The logic of Simpson’s paradox
✍ Prasanta S. Bandyoapdhyay; Davin Nelson; Mark Greenwood; Gordon Brittan; Jesse B πŸ“‚ Article πŸ“… 2010 πŸ› Springer Netherlands 🌐 English βš– 305 KB
Beyond Simpson's paradox: A descriptive
✍ Yamaoka, Kazue πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 644 KB

In considering the strength of association of particular variables, we cannot ignore the effects of confounding factors that cause Simpson's paradox. Many methods for adjusting these effects have been proposed, and a great deal of effort has been devoted to statistical tests. Apart from the statisti

Simpson's paradox: An example using acci
✍ Keith Smith; James O'Day πŸ“‚ Article πŸ“… 1982 πŸ› Elsevier Science 🌐 English βš– 152 KB

Al~traet--Two-way tabulation of data when a third interacting variable is present can lead to false inferences. In this paper it is shown that the probability of an occupant fatality given a crash in a single-vehicle accident is independent of vehicle size in an aggregate data set. When the data set