Practical Approaches to Causal Relationship Exploration
This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for causal discovery. The last two methods employ association rule mining for efficient causal hypothesis generation, and a partial association test and retrospective cohort study for validating the hypotheses. All four methods are innovative and effective in identifying potential causal relationships around a given target, and each has its own strength an…
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Produktdetails
Weitere Autoren: Liu, Lin / Le, Thuc Duy
- ISBN: 978-3-319-14433-7
- EAN: 9783319144337
- Produktnummer: 18252484
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Plattform: PDF
- Masse: 2'631 KB
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