Hans van Houwelingen, Hein Putter

Dynamic Prediction in Clinical Survival Analysis (eBook, PDF)

• Format: PDF

Produktbeschreibung

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 taken from the authors' collaborative research. R programs are provided for implementing the methods.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 250
• Erscheinungstermin: 9. November 2011
• Englisch
• ISBN-13: 9781439835432
• Artikelnr.: 38303676

Autorenporträt

Hans van Houwelingen received his Ph.D. in Mathematical Statistics from the University of Utrecht in 1973. He stayed at the Mathematics Department in Utrecht until 1986. In that time his theoretical research interest was empirical Bayes methodology as developed by Herbert Robbins. His main contribution was the finding that empirical Bayes rules could be improved by monitonization.

On the practical side, he was involved in all kinds of collaborations with researchers in psychology, chemistry and medicine. The latter brought him to Leiden in 1986 where he was appointed chair and department head of Medical Statistics at the Leiden Medical School, which was transformed into the Leiden University Medical Center (LUMC) in 1996.

Together with his Ph.D. students he developed several research lines in logistic regression, survival analysis, meta-analysis, statistical genetics and statistical bioinformatics. In the meantime, the department grew into the Department of Medical Statistics and Bioinformatics, which also includes the chair and staff in Molecular Epidemiology.

Dr. van Houwelingen was editor-in-chief of Statistica Neerlandica and served on the editorial boards of Statistical Methods In Medical Research, Lifetime Data Analysis, Biometrics, Biostatistics, Biometrical Journal and Statistics and Probability Letters. He is elected member of ISI, fellow of ASA, honorary member of the Dutch Statistical Society (VVS) and ANed, the Dutch Region of the International Biometric Society (IBS).

Dr. van Houwelingen retired on January 1, 2009. On that occasion he was appointed Knight in the Order of the Dutch Lion.

Hein Putter received his Ph.D. in mathematical statistics from the University of Leiden in 1994, under the supervision of Willem van Zwet, on the topic of resampling methods. After post-doc positions in the Department of Mat

Inhaltsangabe

Prognostic models for survival data using (clinical) information available
at baseline, based on the Cox model: The special nature of survival data.
Cox regression model. Measuring the predictive value of a Cox model.
Calibration and revision of Cox models. Prognostic models for survival data
using (clinical) information available at baseline, when the proportional
hazards assumption of the Cox model is violated: Mechanisms explaining
violation of the Cox model. Non-proportional hazards models. Dealing with
non-proportional hazards. Dynamic prognostic models for survival data using
time-dependent information: Dynamic predictions using biomarkers. Dynamic
prediction in multi-state models. Dynamic prediction in chronic disease.
Dynamic prognostic models for survival data using genomic data: Penalized
Cox models. Dynamic prediction based on genomic data. Appendices: Data
sets. Software and website. References. Index.