Data Analysis with Competing Risks and Intermediate States

Data Analysis with Competing Risks and Intermediate States
Author: Ronald B. Geskus
Publisher: CRC Press
Total Pages: 278
Release: 2015-07-14
Genre: Mathematics
ISBN: 1466570369

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Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results.After introducing example studies from the biomedical and


Data Analysis with Competing Risks and Intermediate States
Language: en
Pages: 278
Authors: Ronald B. Geskus
Categories: Mathematics
Type: BOOK - Published: 2015-07-14 - Publisher: CRC Press

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Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermedia
Competing Risks and Multistate Models with R
Language: en
Pages: 249
Authors: Jan Beyersmann
Categories: Mathematics
Type: BOOK - Published: 2011-11-18 - Publisher: Springer Science & Business Media

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This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single
Competing Risks
Language: en
Pages: 240
Authors: Melania Pintilie
Categories: Medical
Type: BOOK - Published: 2006-11-02 - Publisher: John Wiley & Sons

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The need to understand, interpret and analyse competing risk data is key to many areas of science, particularly medical research. There is a real need for a boo
Models for Multi-State Survival Data
Language: en
Pages: 293
Authors: Per Kragh Andersen
Categories: Mathematics
Type: BOOK - Published: 2023-10-11 - Publisher: CRC Press

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Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may ex
Principles and Methods for Data Science
Language: en
Pages: 498
Authors:
Categories: Mathematics
Type: BOOK - Published: 2020-05-28 - Publisher: Elsevier

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Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenti