Cause and Effect: Statistical Perspectives

  • Glen McPherson
Part of the Springer Texts in Statistics book series (STS)


Evidence of relationships between variables commonly leads to an interest in the reasons for and the nature of the relationships. In some cases, scientists can provide a graphical picture that displays a cause-effect structure for the variables, and the aim is to establish the relative importance of the different connections. Figure 20.1.1 provides an illustration. Of primary interest to the researchers is the degree of disability suffered by a person afflicted with rheumatoid arthritis and the importance of the identified factors that are believed or known to influence the degree of disability.


Explanatory Variable Path Analysis Path Coefficient Unique Contribution Indirect Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Glen McPherson
    • 1
  1. 1.School of Mathematics and PhysicsThe University of TasmaniaHobartAustralia

Personalised recommendations