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Probabilistic Causality in Longitudinal Studies

  • Book
  • © 1994

Overview

Authors:
  1. Mervi Eerola

    1. Department of Statistics, University of Helsinki, Helsinki, Finland

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Part of the book series: Lecture Notes in Statistics (LNS, volume 92)

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Table of contents (5 chapters)

  1. Front Matter

    Pages N1-viii
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  2. Foundations of Probabilistic Causality

    • Mervi Eerola
    Pages 1-28

  3. Predictive Causal Inference in A Series Of Events

    • Mervi Eerola
    Pages 29-43

  4. Confidence Statements about the Prediction Process

    • Mervi Eerola
    Pages 44-56

  5. Applications

    • Mervi Eerola
    Pages 57-108

  6. Concluding Remarks

    • Mervi Eerola
    Pages 109-111

  7. Back Matter

    Pages 112-137
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Statistics, University of Helsinki, Helsinki, Finland

    Mervi Eerola

Bibliographic Information

  • Book Title: Probabilistic Causality in Longitudinal Studies

  • Authors: Mervi Eerola

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2684-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1994

  • Softcover ISBN: 978-0-387-94367-1Published: 07 October 1994

  • eBook ISBN: 978-1-4612-2684-0Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: VIII, 131

  • Topics: Probability Theory and Stochastic Processes

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