My Account Log in

1 option

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

Holman Biotech Commons R853.S7 H68 2012
Loading location information...

Available This item is available for access.

Log in to request item
Format:
Book
Author/Creator:
Houwelingen, J. C. van.
Contributor:
Putter, Hein.
John G. Hartman Memorial Library Fund.
Series:
Monographs on statistics and applied probability (Series) ; 123.
Monographs on statistics and applied probability (Series)
Language:
English
Subjects (All):
Proportional hazards models.
Survival analysis (Biometry).
Proportional Hazards Models.
Survival Analysis.
Medical Subjects:
Proportional Hazards Models.
Survival Analysis.
Physical Description:
xvi, 234 pages : illustrations ; 27 cm.
Place of Publication:
Boca Raton : CRC Press, [2012]
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.
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.
Notes:
Includes bibliographical references and index.
Local Notes:
Acquired for the Penn Libraries with assistance from the John G. Hartman Memorial Library Fund.
ISBN:
1439835330
9781439835333
OCLC:
755056532
Publisher Number:
99946418707

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account