Joint Modeling of Longitudinal and Time-to-Event Data, Elashoff, Robert
Автор: Guerrero, Hector Название: Excel data analysis ISBN: 3030012786 ISBN-13(EAN): 9783030012786 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.
Автор: Chen Ding-Geng (Din), Chen Jenny K. Название: Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling ISBN: 3030675858 ISBN-13(EAN): 9783030675851 Издательство: Springer Рейтинг: Цена: 79190.00 T 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.
Автор: Rabe-hesketh, Sophia (university Of California, Berkeley, Usa) Skrondal, Anders (london School Of Economics, Uk) Название: Multilevel and longitudinal modeling using stata, volume i ISBN: 1597181374 ISBN-13(EAN): 9781597181372 Издательство: Taylor&Francis Рейтинг: Цена: 71450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Is it really possible to enjoy the Old Testament? Eric Seibert understands why many Christians find this part of the Bible confusing, theologically troubling, or just uninteresting. Offering dozens of practical exercises for hands-on interaction with the text, this unique resource equips readers with a variety of creative approaches to bring even the seemingly dry passages to life.
Автор: Scott Duxbury Название: Longitudinal Network Models ISBN: 1071857738 ISBN-13(EAN): 9781071857731 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Although longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. The applied social scientist is left to wonder: Which model is most appropriate for my data? How should I get started with this modeling strategy? And how do I know if my model is any good? This book answers these questions. Author Scott Duxbury assumes that the reader is familiar with network measurement, description, and notation, and is versed in regression analysis, but is likely unfamiliar with statistical network methods. The goal of the book is to guide readers towards choosing, applying, assessing, and interpreting a longitudinal network model, and each chapter is organized with a specific data structure or research question in mind. A companion website includes data and R code to replicate the examples in the book.
Автор: Elashoff Название: Joint Modeling of Longitudinal and Time-to-Event Data ISBN: 1439807825 ISBN-13(EAN): 9781439807828 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T 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.
Автор: Rizopoulos Dimitris Название: Joint Models of Longitudinal and Time-to-Event Data ISBN: 1439872864 ISBN-13(EAN): 9781439872864 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 57150.00 T 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
Автор: Daniels, Michael J. Название: Missing Data in Longitudinal Studies ISBN: 1584886099 ISBN-13(EAN): 9781584886099 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Нет в наличии.
Автор: Robert E. Weiss Название: Modeling Longitudinal Data ISBN: 1441923217 ISBN-13(EAN): 9781441923219 Издательство: Springer Рейтинг: Цена: 80080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Tutz Название: Modeling Discrete Time-to-Event Data ISBN: 3319281569 ISBN-13(EAN): 9783319281568 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Tutz Gerhard, Schmid Matthias Название: Modeling Discrete Time-To-Event Data ISBN: 3319802852 ISBN-13(EAN): 9783319802855 Издательство: Springer Рейтинг: Цена: 83850.00 T 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.
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: 79190.00 T 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.
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