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Probabilistic Causality in Longitudinal Studies. Softcover reprint of the original 1st ed. 1994.
・ISBN 978-0-387-94367-1 paper EUR 49.99
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| 著者・編者 | Eerola, Mervi, |
|---|---|
| シリーズ | Lecture Notes in Statistics |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 1994 |
| ページ数 | 131 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-17998＞ |
解説
In many applied fields of statistics the concept of causality is central to a scientific investigation. The author's aim in this book is to extend the classical theories of probabilistic causality to longitudinal settings and to propose that interesting causal questions can be related to causal effects which can change in time.
The proposed prediction method in this study provides a framework to study the dynamics and the magnitudes of causal effects in a series of dependent events. Its usefulness is demonstrated by the analysis of two examples both drawn from biomedicine, one on bone marrow transplants and one on mental hospitalization.
Consequently, statistical researchers and other scientists concerned with identifying causal relationships will find this an interesting and new approach to this problem.
The proposed prediction method in this study provides a framework to study the dynamics and the magnitudes of causal effects in a series of dependent events. Its usefulness is demonstrated by the analysis of two examples both drawn from biomedicine, one on bone marrow transplants and one on mental hospitalization.
Consequently, statistical researchers and other scientists concerned with identifying causal relationships will find this an interesting and new approach to this problem.