Emerging Topics In Modeling Interval Censored Survival Data


Emerging Topics In Modeling Interval Censored Survival Data
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Emerging Topics In Modeling Interval Censored Survival Data


Emerging Topics In Modeling Interval Censored Survival Data
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Author : Jianguo Sun
language : en
Publisher: Springer Nature
Release Date : 2022-11-29

Emerging Topics In Modeling Interval Censored Survival Data written by Jianguo Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Mathematics categories.


This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation.



Survival Analysis With Interval Censored Data


Survival Analysis With Interval Censored Data
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Author : Kris Bogaerts
language : en
Publisher: CRC Press
Release Date : 2017-11-20

Survival Analysis With Interval Censored Data written by Kris Bogaerts and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-20 with Mathematics categories.


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.



Multi State Survival Models For Interval Censored Data


Multi State Survival Models For Interval Censored Data
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Author : Ardo van den Hout
language : en
Publisher: CRC Press
Release Date : 2016-11-25

Multi State Survival Models For Interval Censored Data written by Ardo van den Hout and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-25 with Mathematics categories.


Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at researchers in medical statistics, epidemiology, demography, and social statistics. One of the applications in the book is a three-state process for dementia and survival in the older population. This process is described by an illness-death model with a dementia-free state, a dementia state, and a dead state. Statistical modelling of a multi-state process can investigate potential associations between the risk of moving to the next state and variables such as age, gender, or education. A model can also be used to predict the multi-state process. The methods are for longitudinal data subject to interval censoring. Depending on the definition of a state, it is possible that the time of the transition into a state is not observed exactly. However, when longitudinal data are available the transition time may be known to lie in the time interval defined by two successive observations. Such an interval-censored observation scheme can be taken into account in the statistical inference. Multi-state modelling is an elegant combination of statistical inference and the theory of stochastic processes. Multi-State Survival Models for Interval-Censored Data shows that the statistical modelling is versatile and allows for a wide range of applications.



The Statistical Analysis Of Interval Censored Failure Time Data


The Statistical Analysis Of Interval Censored Failure Time Data
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Author : Jianguo Sun
language : en
Publisher: Springer
Release Date : 2007-05-26

The Statistical Analysis Of Interval Censored Failure Time Data written by Jianguo Sun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-26 with Mathematics categories.


This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.



Modelling Survival Data In Medical Research


Modelling Survival Data In Medical Research
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Author : David Collett
language : en
Publisher: CRC Press
Release Date : 2023-05-31

Modelling Survival Data In Medical Research written by David Collett and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with Medical categories.


Hugely popular textbook on survival analysis for graduate students of statistics and biostatistics, mainly due to its accessibility and breadth of examples. This is a standard course on graduate programs in biostatistics and statistics, and this is one of the most popular textbooks. Updated with modern methods covering Bayesian survival analysis, joint models, and more.



Interval Censored Time To Event Data


Interval Censored Time To Event Data
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Author : Ding-Geng (Din) Chen
language : en
Publisher: CRC Press
Release Date : 2012-07-19

Interval Censored Time To Event Data written by Ding-Geng (Din) Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-19 with Mathematics categories.


Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research.Divid



Modelling Survival Data In Medical Research Second Edition


Modelling Survival Data In Medical Research Second Edition
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Author : David Collett
language : en
Publisher: CRC Press
Release Date : 2003-03-28

Modelling Survival Data In Medical Research Second Edition written by David Collett and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-28 with Mathematics categories.


Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Research has been thoroughly revised and updated to reflect the many developments and advances--particularly in software--made in the field over the last 10 years. Now, more than ever, it provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis.The treatment begins with an introduction to survival analysis and a description of four studies that lead to survival data. Subsequent chapters then use those data sets and others to illustrate the various analytical techniques applicable to such data, including the Cox regression model, the Weibull proportional hazards model, and others. This edition features a more detailed treatment of topics such as parametric models, accelerated failure time models, and analysis of interval-censored data. The author also focuses the software section on the use of SAS, summarising the methods used by the software to generate its output and examining that output in detail. Profusely illustrated with examples and written in the author's trademark, easy-to-follow style, Modelling Survival Data in Medical Research, Second Edition is a thorough, practical guide to survival analysis that reflects current statistical practices.



Survival Analysis With Interval Censored Data


Survival Analysis With Interval Censored Data
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Author : Kris Bogaerts
language : en
Publisher:
Release Date : 2018

Survival Analysis With Interval Censored Data written by Kris Bogaerts and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Electronic book categories.




Modelling Survival Data In Medical Research


Modelling Survival Data In Medical Research
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Author : D. Collett
language : en
Publisher:
Release Date : 2003

Modelling Survival Data In Medical Research written by D. Collett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with MATHEMATICS categories.


Survival analysis is an active field and many advances, particularly in software, have emerged over the last eight years. Modelling Survival Data in Medical Research, Second Edition updates and expands on the highly successful first edition, which was praised for its clarity, content, and broad-based accessibility. This edition presents the most current and useful modelling techniques in survival data analysis, including recent developments in model checking, parametric models, time-dependent variables, and interval censored data. For this edition, the author has focused the software sections.



Analysis Of Dependent Interval Censored Time To Event Data


Analysis Of Dependent Interval Censored Time To Event Data
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Author : Daohai Yu
language : en
Publisher:
Release Date : 2000

Analysis Of Dependent Interval Censored Time To Event Data written by Daohai Yu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.