Joint Modeling of Longitudinal and Time-to-Event Data PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Joint Modeling of Longitudinal and Time-to-Event Data PDF full book. Access full book title Joint Modeling of Longitudinal and Time-to-Event Data by Robert Elashoff. Download full books in PDF and EPUB format.
Author: Robert Elashoff
Publisher: CRC Press
ISBN: 1315357186
Category : Mathematics
Languages : en
Pages : 254
Get Book Here
Book Description
Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website. This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics.
Author: Robert Elashoff
Publisher: CRC Press
ISBN: 1315357186
Category : Mathematics
Languages : en
Pages : 254
Get Book Here
Book Description
Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website. This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics.
Author: Edward Vonesh
Publisher: CRC Press
ISBN: 1482293277
Category : Mathematics
Languages : en
Pages : 581
Get Book Here
Book Description
Integrates the latest theory, methodology and applications related to the design and analysis of repeated measurement. The text covers a broad range of topics, including the analysis of repeated measures design, general crossover designs, and linear and nonlinear regression models. It also contains a 3.5 IBM compatible disk, with software to implem
Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 728
Get Book Here
Book Description
Author: Eugene Demidenko
Publisher: John Wiley & Sons
ISBN: 1118592999
Category : Mathematics
Languages : en
Pages : 768
Get Book Here
Book Description
Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.” —Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R. The new edition provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing. Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as: Comprehensive theoretical discussions illustrated by examples and figures Over 300 exercises, end-of-section problems, updated data sets, and R subroutines Problems and extended projects requiring simulations in R intended to reinforce material Summaries of major results and general points of discussion at the end of each chapter Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations Ideal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 574
Get Book Here
Book Description
Author: American Mathematical Society
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 540
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Cancer
Languages : en
Pages : 628
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 798
Get Book Here
Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Author: N.U. Prabhu
Publisher: CRC Press
ISBN: 1000147746
Category : Mathematics
Languages : en
Pages : 294
Get Book Here
Book Description
Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the jump mechanism of a di
Author: North-Holland Publishing Company
Publisher:
ISBN:
Category :
Languages : en
Pages : 1576
Get Book Here
Book Description
