Survival Analysis with Interval-Censored Data

Survival Analysis with Interval-Censored Data
Author :
Publisher : CRC Press
Total Pages : 537
Release :
ISBN-10 : 9781351643054
ISBN-13 : 1351643053
Rating : 4/5 (54 Downloads)

Book Synopsis Survival Analysis with Interval-Censored Data by : Kris Bogaerts

Download or read book Survival Analysis with Interval-Censored Data written by Kris Bogaerts and published by CRC Press. This book was released on 2017-11-20 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Survival Analysis with Interval-Censored Data Related Books

Survival Analysis with Interval-Censored Data
Language: en
Pages: 537
Authors: Kris Bogaerts
Categories: Mathematics
Type: BOOK - Published: 2017-11-20 - Publisher: CRC Press

DOWNLOAD EBOOK

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
The Statistical Analysis of Interval-censored Failure Time Data
Language: en
Pages: 310
Authors: Jianguo Sun
Categories: Mathematics
Type: BOOK - Published: 2007-05-26 - Publisher: Springer

DOWNLOAD EBOOK

This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first c
Interval-Censored Time-to-Event Data
Language: en
Pages: 435
Authors: Ding-Geng (Din) Chen
Categories: Mathematics
Type: BOOK - Published: 2012-07-19 - Publisher: CRC Press

DOWNLOAD EBOOK

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-t
Multi-State Survival Models for Interval-Censored Data
Language: en
Pages: 323
Authors: Ardo van den Hout
Categories: Mathematics
Type: BOOK - Published: 2016-11-25 - Publisher: CRC Press

DOWNLOAD EBOOK

Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time.
Survival Analysis with Interval-Censored Data
Language: en
Pages: 617
Authors: Kris Bogaerts
Categories: Mathematics
Type: BOOK - Published: 2017-11-20 - Publisher: CRC Press

DOWNLOAD EBOOK

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