Applied Longitudinal Data Analysis 2

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Applied Longitudinal Data Analysis

Applied Longitudinal Data Analysis 2
Author: Judith D. Singer
Publisher: Oxford University Press
ISBN: 9780195152968
Size: 28.41 MB
Format: PDF, Mobi
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By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.
Applied Longitudinal Data Analysis
Language: en
Pages: 644
Authors: Judith D. Singer, John B. Willett, Charles William Eliot Professor John B Willett, John B.. Willett
Categories: Mathematics
Type: BOOK - Published: 2003-03-27 - Publisher: Oxford University Press
By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.
Applied Longitudinal Analysis
Language: en
Pages: 701
Authors: Garrett M. Fitzmaurice, Nan M. Laird, James H. Ware
Categories: Mathematics
Type: BOOK - Published: 2011-08-30 - Publisher: John Wiley & Sons
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 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 social and behavioral sciences. The authors incorporate their extensive academic and research experience along with various updates that have been made in response to reader feedback. The Second Edition features six newly added chapters that explore topics currently evolving in the field, including: Fixed effects and mixed effects models Marginal models and generalized estimating equations Approximate methods for generalized linear mixed effects models Multiple imputation and inverse probability weighted methods Smoothing methods for longitudinal data Sample size and power Each chapter presents methods in the setting of applications to data sets drawn from the health sciences. New problem sets have
Applied Longitudinal Data Analysis for Epidemiology
Language: en
Pages: 301
Authors: Jos W. R. Twisk
Categories: Medical
Type: BOOK - Published: 2003-03-27 - Publisher: Cambridge University Press
A practical guide to longitudinal data analysis in medical research and epidemiology.
Methods and Applications of Longitudinal Data Analysis
Language: en
Pages: 530
Authors: Xian Liu
Categories: Mathematics
Type: BOOK - Published: 2015-09-11 - Publisher: Elsevier
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. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the
Regression
Language: de
Pages: 502
Authors: Ludwig Fahrmeir, Thomas Kneib, Stefan Lang
Categories: Business & Economics
Type: BOOK - Published: 2009-08-27 - Publisher: Springer-Verlag
In dem Band beschreiben die Autoren erstmals klassische Regressionsansätze und moderne nicht- und semiparametrische Methoden in einer integrierten und anwendungsorientierten Form. Um Lesern die Analyse eigener Fragestellungen zu ermöglichen, demonstrieren sie die praktische Anwendung der Konzepte und Methoden anhand ausführlicher Fallstudien. Geeignet für Studierende der Statistik sowie für Wissenschaftler und Praktiker, zum Beispiel in den Wirtschafts- und Sozialwissenschaften, der Bioinformatik und -statistik, Ökonometrie und Epidemiologie.
Analysis of Longitudinal Data
Language: en
Pages: 379
Authors: Peter Diggle, Department of Mathematics and Statistics Peter J Diggle, Peter J.. Diggle, Patrick Heagerty, Kung-Yee Liang, Patrick J. Heagerty, Scott Zeger, Both at Biostatistics Department Scott Zeger
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2002-06-20 - Publisher: Oxford University Press
This important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics (medical statistics). This new edition contains an additional two chapters. The first of these discusses fully parametric models for discrete repeated measures data. The second explores statistical models for time-dependent predictors where there may be feedback between the predictor and response variables.
Cancer Epidemiology
Language: en
Pages: 513
Authors: Mukesh Verma
Categories: Medical
Type: BOOK - Published: 2008-10-23 - Publisher: Humana Press
Population studies and epidemiology facilitate the discovery of genetic and environmental determinants of cancer and the development of new approaches to cancer control and prevention, therefore they play a central role in the creation of health policies. Cancer Epidemiology compiles areas of research which cover etiological factors or determinants that contribute to the development of cancer and describe the latest technologies in cancer epidemiology. In Volume 1, Host Susceptibility Factors, leading experts provide chapters on cancer incidence, prevalence, mortality and surveillance, methods, technologies and study design in cancer epidemiology as well as host susceptibility factors in cancer epidemiology. Although a non-standard volume of the highly successful Methods in Molecular BiologyTM series, this comprehensive text retains the commitment of the series to collecting the kind of detailed, up-to-date information and implementation advice that is crucial for getting optimal results. Cutting-edge and essential, Cancer Epidemiology allows readers to get the maximum advantage of the methods involved in this exciting and important field.
Current Index to Statistics, Applications, Methods and Theory
Language: en
Pages:
Authors: Mukesh Verma
Categories: Mathematical statistics
Type: BOOK - Published: 1997 - Publisher:
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Statistik transparent
Language: de
Pages: 107
Authors: Marco Schuchmann, Werner Sanns
Categories: Business & Economics
Type: BOOK - Published: 2018-05-22 - Publisher: Walter de Gruyter GmbH & Co KG
Mit der weiteren Verbreitung der großen Statistikprogramme werden Eingabe und Bearbeitung von Daten immer mehr zu einer Routineangelegenheit. Schwierigkeiten bereitet dagegen vielfach die Interpretation der Ausgaben. Diese für einige grundlegenden statistischen Berechnungen zu erklären, macht sich dieses Buch zur Aufgabe.
Longitudinal Data Analysis
Language: en
Pages: 360
Authors: Donald Hedeker, Robert D. Gibbons
Categories: Mathematics
Type: BOOK - Published: 2006-04-07 - Publisher: Wiley-Interscience
Longitudinal data analysis for biomedical and behavioral sciences 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 data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to