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Synopsis
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.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date1994
- ISBN 10 0387943676
- ISBN 13 9780387943671
- BindingPaperback
- LanguageEnglish
- Number of pages139
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Probabilistic Causality in Longitudinal Studies (Lecture Notes in Statistics, 92)
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Probabilistic Causality in Longitudinal Studies (Lecture Notes in Statistics)
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Probabilistic Causality in Longitudinal Studies
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Probabilistic Causality in Longitudinal Studies
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Springer-Verlag New York Inc., 1994
ISBN 10: 0387943676
ISBN 13: 9780387943671
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Probabilistic Causality in Longitudinal Studies
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Probabilistic Causality in Longitudinal Studies
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9780387943671
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Probabilistic Causality in Longitudinal Studies
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