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Item Details
Title:
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BAYESIAN SURVIVAL ANALYSIS
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By: |
Joseph G. Ibrahim, Ming-Hui Chen, Debajyoti Sinha |
Format: |
Hardback |

List price:
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£129.99 |
We currently do not stock this item, please contact the publisher directly for
further information.
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ISBN 10: |
0387952772 |
ISBN 13: |
9780387952772 |
Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
Pub. date: |
7 December, 2004 |
Edition: |
1st ed. 2001. Corr. 2nd printing 2004 |
Series: |
Springer Series in Statistics |
Pages: |
480 |
Description: |
Offers a treatment of Bayesian survival analysis. This book addresses various topics, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison, and joint models for longitudinal and survival data. |
Synopsis: |
Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment. |
Illustrations: |
XIV, 480 p. |
Publication: |
US |
Imprint: |
Springer-Verlag New York Inc. |
Returns: |
Returnable |
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