Survival Analysis with Interval-Censored Data

A Practical Approach with Examples in R, SAS, and BUGS

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Survival Analysis with Interval-Censored Data by Emmanuel Lesaffre, Kris Bogaerts, Arnost Komarek, CRC Press
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Author: Emmanuel Lesaffre, Kris Bogaerts, Arnost Komarek ISBN: 9781351643054
Publisher: CRC Press Publication: November 20, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Emmanuel Lesaffre, Kris Bogaerts, Arnost Komarek
ISBN: 9781351643054
Publisher: CRC Press
Publication: November 20, 2017
Imprint: Chapman and Hall/CRC
Language: English

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition, the necessary software is at times difficult to trace. This book fills in the gap between theory and practice.

Features:

-Provides an overview of frequentist as well as Bayesian methods.

-Include a focus on practical aspects and applications.

-Extensively illustrates the methods with examples using R, SAS, and BUGS. Full programs are available on a supplementary website.

The authors:

Kris Bogaerts is project manager at I-BioStat, KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials.

Arnošt Komárek is associate professor of statistics at Charles University, Prague. His subject area of expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society and editor of Statistical Modelling: An International Journal.

Emmanuel Lesaffre is professor of biostatistics at I-BioStat, KU Leuven. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval-censored data, misclassification issues, and clinical trials. He is the founding chair of the Statistical Modelling Society, past-president of the International Society for Clinical Biostatistics, and fellow of ISI and ASA.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition, the necessary software is at times difficult to trace. This book fills in the gap between theory and practice.

Features:

-Provides an overview of frequentist as well as Bayesian methods.

-Include a focus on practical aspects and applications.

-Extensively illustrates the methods with examples using R, SAS, and BUGS. Full programs are available on a supplementary website.

The authors:

Kris Bogaerts is project manager at I-BioStat, KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials.

Arnošt Komárek is associate professor of statistics at Charles University, Prague. His subject area of expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society and editor of Statistical Modelling: An International Journal.

Emmanuel Lesaffre is professor of biostatistics at I-BioStat, KU Leuven. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval-censored data, misclassification issues, and clinical trials. He is the founding chair of the Statistical Modelling Society, past-president of the International Society for Clinical Biostatistics, and fellow of ISI and ASA.

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