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Dynamic prediction in clinical survival analysis / Hans van Houwelingen, Hein Putter.

By: Contributor(s): Material type: TextTextSeries: Monographs on statistics and applied probability ; 123.Publication details: Boca Raton : CRC Press, 2012.Description: xiv, 234 p. : ill. ; [ca. 23-29] cmISBN:
  • 9781439835333
Subject(s): Available additional physical forms:
  • Also available as an electronic resource.
Contents:
The special nature of survival data -- Cox regression model -- Measuring the predictive value of a Cox model -- Calibration and revision of Cox models -- Mechanisms explaining violation of the Cox model -- Non-proportional hazards models -- Dealing with non-proportional hazards -- Dynamic predictions using biomarkers -- Dynamic prediction in multi-state models -- Dynamic prediction in chronic disease -- Penalized Cox models -- Dynamic prediction based on genomic data.
Summary: "In the last twenty years, dynamic prediction models have been extensively used to monitor patient prognosis in survival analysis. Written by one of the pioneers in the area, this book synthesizes these developments in a unified framework. It covers a range of models, including prognostic and dynamic prediction of survival using genomic data and time-dependent information. The text includes numerous examples using real data that is taken from the authors collaborative research. R programs are provided for implementing the methods"--Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata NBHM Collection 000SB:615.580724 H844 (Browse shelf(Opens below)) Available 133339
Total holds: 0

Includes bibliographical references and index.

The special nature of survival data -- Cox regression model -- Measuring the predictive value of a Cox model -- Calibration and revision of Cox models -- Mechanisms explaining violation of the Cox model -- Non-proportional hazards models -- Dealing with non-proportional hazards -- Dynamic predictions using biomarkers -- Dynamic prediction in multi-state models -- Dynamic prediction in chronic disease -- Penalized Cox models -- Dynamic prediction based on genomic data.

"In the last twenty years, dynamic prediction models have been extensively used to monitor patient prognosis in survival analysis. Written by one of the pioneers in the area, this book synthesizes these developments in a unified framework. It covers a range of models, including prognostic and dynamic prediction of survival using genomic data and time-dependent information. The text includes numerous examples using real data that is taken from the authors collaborative research. R programs are provided for implementing the methods"--Provided by publisher.

Also available as an electronic resource.

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