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Joint Modeling of Longitudinal and Time-to-Event Data, Elashoff, Robert


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Автор: Elashoff, Robert
Название:  Joint Modeling of Longitudinal and Time-to-Event Data
ISBN: 9780367570576
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367570572
Обложка/Формат: Paperback
Страницы: 241
Вес: 0.49 кг.
Дата издания: 30.06.2020
Серия: Chapman & hall/crc monographs on statistics and applied probability
Язык: English
Размер: 231 x 155 x 23
Читательская аудитория: Postgraduate, research & scholarly
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Поставляется из: Европейский союз


Joint Modeling of Longitudinal and Time-to-Event Data

Автор: Elashoff
Название: Joint Modeling of Longitudinal and Time-to-Event Data
ISBN: 1439807825 ISBN-13(EAN): 9781439807828
Издательство: Taylor&Francis
Рейтинг:
Цена: 14851.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

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.

Joint Models of Longitudinal and Time-to-Event Data

Автор: Rizopoulos Dimitris
Название: Joint Models of Longitudinal and Time-to-Event Data
ISBN: 1439872864 ISBN-13(EAN): 9781439872864
Издательство: Taylor&Francis
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Цена: 14545.00 р.
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Описание:

In follow-up studies it is often of interest to investigate how a longitudinal outcome that is repeatedly measured in time is associated with a time to an event of interest. Typical examples in this setting come from biomarker research, such as HIV studies where longitudinal CD4 cell counts and viral load are collected in conjunction to the time-to-death, and prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence.

This book is the first providing a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author.

Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples

Автор: Little Todd D., Schnabel Kai U., Baumert Jrgen
Название: Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
ISBN: 113801253X ISBN-13(EAN): 9781138012530
Издательство: Taylor&Francis
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Цена: 9033.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Experts on handling longitudinal & multiple-group data contribute various, practical, analytic approaches including SEM,LTA,GLM, and multi-level techniques.Includes helpful tips, applications and examples. Grad students & researchers in social & behavior

Missing Data in Longitudinal Studies

Автор: Daniels, Michael J.
Название: Missing Data in Longitudinal Studies
ISBN: 1584886099 ISBN-13(EAN): 9781584886099
Издательство: Taylor&Francis
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Цена: 16078.00 р.
Наличие на складе: Нет в наличии.

Modeling Longitudinal Data

Автор: Robert E. Weiss
Название: Modeling Longitudinal Data
ISBN: 1441923217 ISBN-13(EAN): 9781441923219
Издательство: Springer
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Цена: 10483.00 р.
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Описание:

The book features many figures and tables illustrating longitudinal data and numerous homework problems.

The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material.

Weiss emphasizes continuous data rather than discrete data, graphical and covariance methods, and generalizations of regression rather than generalizations of analysis of variance.


Modeling Discrete Time-to-Event Data

Автор: Tutz
Название: Modeling Discrete Time-to-Event Data
ISBN: 3319281569 ISBN-13(EAN): 9783319281568
Издательство: Springer
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Цена: 8537.00 р.
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Описание: This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.

Modeling Discrete Time-To-Event Data

Автор: Tutz Gerhard, Schmid Matthias
Название: Modeling Discrete Time-To-Event Data
ISBN: 3319802852 ISBN-13(EAN): 9783319802855
Издательство: Springer
Рейтинг:
Цена: 10976.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book focuses on statistical methods for the analysis of discrete failure times. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale.

Statistical Regression Modeling with R: Longitudinal and Multi-Level Modeling

Автор: Chen Ding-Geng (Din), Chen Jenny K.
Название: Statistical Regression Modeling with R: Longitudinal and Multi-Level Modeling
ISBN: 3030675823 ISBN-13(EAN): 9783030675820
Издательство: Springer
Цена: 10366.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data.

An Introduction to Multilevel Modeling Techniques

Автор: Heck, Ronald , Thomas, Scott L.
Название: An Introduction to Multilevel Modeling Techniques
ISBN: 0367182424 ISBN-13(EAN): 9780367182427
Издательство: Taylor&Francis
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Цена: 28327.00 р.
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Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.

An Introduction to Multilevel Modeling Techniques

Автор: Heck, Ronald , Thomas, Scott L.
Название: An Introduction to Multilevel Modeling Techniques
ISBN: 0367182440 ISBN-13(EAN): 9780367182441
Издательство: Taylor&Francis
Рейтинг:
Цена: 9339.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.

Factor  Analysis

Автор: Gorsuch
Название: Factor Analysis
ISBN: 1138831980 ISBN-13(EAN): 9781138831988
Издательство: Taylor&Francis
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Цена: 30624.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use.

Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the "inner workings" of these methods. The new Introduction highlights the remarkably few changes that the author would make if he were writing the book today.

An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book's thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred.

Advanced Structural Equation Modeling

Название: Advanced Structural Equation Modeling
ISBN: 1138966045 ISBN-13(EAN): 9781138966048
Издательство: Taylor&Francis
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Цена: 7961.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate level multivariate statistics, including an introduction to SEM.


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