3 edition of Longitudinal Data Analysis Methods and Applications (London Papers in Regional Science) found in the catalog.
by Pion Ltd
Written in English
|The Physical Object|
|Number of Pages||150|
collection of these methods as “g-methods.” If we used only completely saturated (i.e., non-parametric) models, all three methods would give identical estimates of the eﬀect of treat-ment. However, in realistic longitudinal studies, the data are sparse and high-dimensional. Therefore, possibly misspeciﬁed, non-saturated models must be used. Book Description. Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process.
References Agresti A, Caffo B, Ohman-Strickland P. Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies. Comp. Stat. Data Anal. - Selection from Methods and Applications of Longitudinal Data Analysis [Book]. † Longitudinal data have special features that must be taken into account to make valid inferences on questions of interest † Statistical models that acknowledge these features and the questions of interest are needed, which lead to appropriate methods † Understanding the models is critical to using the software Introduction to.
We restrict ourselves to the use of these methods to analyse panel data. By panel data we mean data which contain repeated measures of the same variable, taken from the same set of units over time. In our applications the units are individuals. However, the methods presented can be used for other types of units, such as businesses or Size: KB. Offers data sets, software programs, and other material on the editors' website; Description: Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature.
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Chapter 1 Longitudinal Data Analysis. Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences.
It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of. This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences.
Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of by: Longitudinal Data Analysis is the first book to collect and sort through many of the most important developments.
The authors make clear the assumptions of the statistical methods and their consequences. Coupled with an abundance of examples, the book guides the practitioner about when to apply one method as opposed to another/5(3).
Book Description. Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research.
The aim of this book is to provide a comprehensive account of the most relevant methods and techniques applied in longitudinal data analysis, without concentrating on any single field of application.
Therefore, this book is expected to appeal to a wide variety of disciplines. Applied Longitudinal Analysis, Second Edition presents modern methods for Longitudinal Data Analysis Methods and Applications book data from longitudinal studies and now features the latest state-of-the-art techniques.
The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the Cited by: Longitudinal and Panel Data: Analysis and Applications for the Social Sciences Table of Contents Table of Contents i Preface vi 1.
Introduction What are longitudinal and panel data. Benefits and drawbacks of longitudinal data Longitudinal data models Historical notes PART I - LINEAR MODELS 2.
The book's main value is in its rather comprehensive presentation of a collection of longitudinal data analyses arising from different research questions. In this sense, the book is unique. Some practitioners of statistics may have struggled to learn longitudinal data analysis by reading manuals of Cited by: Applied Longitudinal Analysis, Second Editionpresents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques.
The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the.
Chapter 1 Longitudinal Data Analysis Introduction One of the most common medical research designs is a \pre-post" study in which a single baseline health status measurement is obtained, an interven-tion is administered, and a single follow-up measurement is collected. In this experimental design the change in the outcome measurement can be as.
Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change.
Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building by: Chapter 1 Introduction Abstracts Serving as introduction to the book, Chapter 1 is focused on the description of the definition, historical background, data features and structures, and some other general - Selection from Methods and Applications of Longitudinal Data Analysis [Book].
Praise for the First Edition [this book] should be on the shelf of everyone interested in longitudinal data analysis. —Journal of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now.
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature.
Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications.2/5(2). Introduction to Longitudinal Data Analysis Geert Molenberghs Center for Statistics Universiteit Hasselt, Belgium Theory and Applications.
Nonparametric Regression Methods for Longitudinal Data Analysis. New York: John Wiley & Sons. Introduction to Longitudinal Data Analysis 5.
Books about longitudinal data/panel data, including the latest additions to the bookstore. Methods and Applications A. Colin Cameron and Pravin K. Trivedi. Microeconometrics Using Stata, Revised Edition A. Colin Cameron and Pravin K.
Trivedi. Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide, Second Edition Jos W. Twisk. Chapter 2 Traditional methods of longitudinal data analysis Abstract In Chapter 2, I review a number of classical methods traditionally applied in longitudinal data analysis.
First, several descriptive approaches are - Selection from Methods and Applications of Longitudinal Data Analysis [Book]. Longitudinal data analysis: a practical guide for researchers in aging, health, and social sciences / edited by Jason T.
Newsom, Richard N. Jones, Scott M. Hofer. -- (Multivariate applications series ; 18) Includes bibliographical references and index. ISBN (hardback) 1. Social sciences--Research. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences.
It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for 4/5(4). COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.Other longitudinal data books do not have the breadth of this one.
I highly recommend this book to anyone interested in learning about modern methods for longitudinal data analysis. I think it would make a particularly good book for a Ph.D.-level reading course or as a supplement to a longitudinal data textbook in a graduate-level course.Longitudinal Data Analysis: Designs, Models and Methods: Authors: Professor Catrien C J H C J H Bijleveld, Leo J.
Th. van der Kamp, Professor Leo J Th Van Der Kamp, Ab Mooijaart, Dr Willem A Van Der Van Der Kloot, Dr Rien Van Der Leeden, Eeke Van Der Burg: Publisher: SAGE, ISBN:Length: pages: Export Citation.