Applied Linear Regression For Longitudinal Data

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Applied Linear Regression for Longitudinal Data

Frans E.S. Tan,Shahab Jolani
Applied Linear Regression for Longitudinal Data Book PDF

Author : Frans E.S. Tan,Shahab Jolani
Publisher : CRC Press
Page : 249 pages
File Size : 42,5 Mb
Release : 2022-12-09
Category : Mathematics
ISBN : 9781000798227

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Applied Linear Regression for Longitudinal Data by Frans E.S. Tan,Shahab Jolani Pdf

This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations are clarified using visualization techniques. Key features include the following: Provides datasets and examples online Gives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysis Conceptualises the analysis of comparative (experimental and observational) studies It is the ideal companion for researchers and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical background.

Applied Linear Regression for Longitudinal Data

Frans Tan,Shahab Jolani
Applied Linear Regression for Longitudinal Data Book PDF

Author : Frans Tan,Shahab Jolani
Publisher : Unknown
Page : 0 pages
File Size : 49,8 Mb
Release : 2023
Category : Longitudinal method
ISBN : 0367639378

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Applied Linear Regression for Longitudinal Data by Frans Tan,Shahab Jolani Pdf

"This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths, while at the same time not requiring much prior knowledge about regression analysis. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations (in the outcome and/or independent variables) are clarified using visualization techniques. Key Features: Provides datasets and example online; Gives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysis; Conceptualize the analysis of comparative (experimental and observational) studies. It is the ideal companion for researcher and students in epidemiological, health, and social and behavioural sciences working with longitudinal studies without a mathematical background"--

Applied Longitudinal Analysis

Garrett M. Fitzmaurice,Nan M. Laird,James H. Ware
Applied Longitudinal Analysis Book PDF

Author : Garrett M. Fitzmaurice,Nan M. Laird,James H. Ware
Publisher : John Wiley & Sons
Page : 540 pages
File Size : 43,5 Mb
Release : 2004-07
Category : Mathematics
ISBN : 0471214876

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Applied Longitudinal Analysis by Garrett M. Fitzmaurice,Nan M. Laird,James H. Ware Pdf

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Applied Longitudinal Analysis

Garrett M. Fitzmaurice,Nan M. Laird,James H. Ware
Applied Longitudinal Analysis Book PDF

Author : Garrett M. Fitzmaurice,Nan M. Laird,James H. Ware
Publisher : John Wiley & Sons
Page : 758 pages
File Size : 47,8 Mb
Release : 2011-08-30
Category : Mathematics
ISBN : 9780470380277

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Applied Longitudinal Analysis by Garrett M. Fitzmaurice,Nan M. Laird,James H. Ware Pdf

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 been added to many chapters, and a related website features sample programs and computer output using SAS, Stata, and R, as well as data sets and supplemental slides to facilitate a complete understanding of the material. With its strong emphasis on multidisciplinary applications and the interpretation of results, Applied Longitudinal Analysis, Second Edition is an excellent book for courses on statistics in the health and medical sciences at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and professionals in the medical, public health, and pharmaceutical fields as well as those in social and behavioral sciences who would like to learn more about analyzing longitudinal data.

Applied longitudinal Data Analysis

Marie Davidian
Applied longitudinal Data Analysis Book PDF

Author : Marie Davidian
Publisher : Springer
Page : 128 pages
File Size : 41,7 Mb
Release : 2010-11-16
Category : Mathematics
ISBN : 0387564268

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Applied longitudinal Data Analysis by Marie Davidian Pdf

The goal of this book is to provide an overview of statistical models and methods that are useful in the analysis of longitudinal data; that is, data in the form of repeated measurements on the same experimental unit over time. The intended audience is a combination of non- statistics graduate students who have taken an applied methods course covering linear regression and Analysis of Variance and masters-level statistics students looking for an applied intro course.

Practical Longitudinal Data Analysis

David J. Hand,Martin J. Crowder
Practical Longitudinal Data Analysis Book PDF

Author : David J. Hand,Martin J. Crowder
Publisher : CRC Press
Page : 248 pages
File Size : 41,5 Mb
Release : 1996-03-01
Category : Mathematics
ISBN : 0412599406

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Practical Longitudinal Data Analysis by David J. Hand,Martin J. Crowder Pdf

This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.

Applied Regression Analysis and Generalized Linear Models

John Fox
Applied Regression Analysis and Generalized Linear Models Book PDF

Author : John Fox
Publisher : SAGE Publications
Page : 612 pages
File Size : 55,9 Mb
Release : 2015-03-18
Category : Social Science
ISBN : 9781483321318

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Applied Regression Analysis and Generalized Linear Models by John Fox Pdf

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book. Accompanying website resources containing all answers to the end-of-chapter exercises. Answers to odd-numbered questions, as well as datasets and other student resources are available on the author′s website. NEW! Bonus chapter on Bayesian Estimation of Regression Models also available at the author′s website.

Longitudinal Data Analysis

Donald Hedeker,Robert D. Gibbons
Longitudinal Data Analysis Book PDF

Author : Donald Hedeker,Robert D. Gibbons
Publisher : John Wiley & Sons
Page : 360 pages
File Size : 52,7 Mb
Release : 2006-05-12
Category : Mathematics
ISBN : 9780470036471

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Longitudinal Data Analysis by Donald Hedeker,Robert D. Gibbons Pdf

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 keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

Applied Longitudinal Data Analysis

Judith D. Singer,John B. Willett
Applied Longitudinal Data Analysis Book PDF

Author : Judith D. Singer,John B. Willett
Publisher : Oxford University Press
Page : 672 pages
File Size : 54,9 Mb
Release : 2003-03-27
Category : Mathematics
ISBN : 0195152964

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Applied Longitudinal Data Analysis by Judith D. Singer,John B. Willett Pdf

By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.

Beyond Multiple Linear Regression

Paul Roback,Julie Legler
Beyond Multiple Linear Regression Book PDF

Author : Paul Roback,Julie Legler
Publisher : CRC Press
Page : 436 pages
File Size : 55,7 Mb
Release : 2021-01-14
Category : Mathematics
ISBN : 9781439885406

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Beyond Multiple Linear Regression by Paul Roback,Julie Legler Pdf

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)

Applied Longitudinal Data Analysis for Medical Science

Jos W. R. Twisk
Applied Longitudinal Data Analysis for Medical Science Book PDF

Author : Jos W. R. Twisk
Publisher : Cambridge University Press
Page : 271 pages
File Size : 51,8 Mb
Release : 2023-05-31
Category : Medical
ISBN : 9781009288040

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Applied Longitudinal Data Analysis for Medical Science by Jos W. R. Twisk Pdf

Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques easily to their work. Aimed at non-statisticians and researchers working in medical science and utilising longitudinal studies, the interpretation of the results of various methods of analysis is emphasised.

Applied Longitudinal Data Analysis

Judith D. Singer,John B. Willett
Applied Longitudinal Data Analysis Book PDF

Author : Judith D. Singer,John B. Willett
Publisher : Oxford University Press
Page : 644 pages
File Size : 45,6 Mb
Release : 2003-03-27
Category : Psychology
ISBN : 9780199882403

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Applied Longitudinal Data Analysis by Judith D. Singer,John B. Willett Pdf

Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. 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 event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models. Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods. Visit http://www.ats.ucla.edu/stat/examples/alda.htm for: · Downloadable data sets · Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more · Additional material for data analysis

Models for Intensive Longitudinal Data

Theodore A. Walls,Joseph L. Schafer
Models for Intensive Longitudinal Data Book PDF

Author : Theodore A. Walls,Joseph L. Schafer
Publisher : Oxford University Press
Page : 320 pages
File Size : 40,8 Mb
Release : 2006-01-19
Category : Mathematics
ISBN : 9780190291631

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Models for Intensive Longitudinal Data by Theodore A. Walls,Joseph L. Schafer Pdf

Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence the statistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists working on ILD in conjunction with behavioral scientists. Chapters present applications from across the behavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy. Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting and applying a given model. The chapters highlight issues of general concern in modeling these kinds of data, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing of measurements, complex multivariate patterns of change, and multiple independent series. The extraordinary breadth of coverage makes this an indispensable reference for principal investigators designing new studies that will introduce ILD, applied statisticians working on related models, and methodologists, graduate students, and applied analysts working in a range of fields. A companion Web site at www.oup.com/us/MILD contains program examples and documentation.

Applied Longitudinal Data Analysis for Epidemiology

Jos W. R. Twisk
Applied Longitudinal Data Analysis for Epidemiology Book PDF

Author : Jos W. R. Twisk
Publisher : Cambridge University Press
Page : 337 pages
File Size : 47,9 Mb
Release : 2013-05-09
Category : Medical
ISBN : 9781107067608

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Applied Longitudinal Data Analysis for Epidemiology by Jos W. R. Twisk Pdf

This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the discussion lies in the interpretation and comparison of the results of the different techniques. The second edition includes new chapters on the role of the time variable and presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an extensive overview and comparison of different software packages is provided. This practical guide is essential for non-statisticians and researchers working with longitudinal data from epidemiological and clinical studies.

Methods and Applications of Longitudinal Data Analysis

Xian Liu
Methods and Applications of Longitudinal Data Analysis Book PDF

Author : Xian Liu
Publisher : Elsevier
Page : 530 pages
File Size : 48,6 Mb
Release : 2015-09-11
Category : Mathematics
ISBN : 9780128014820

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Methods and Applications of Longitudinal Data Analysis by Xian Liu Pdf

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 pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.