Advances in Data Analysis for Prevention Intervention Research

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Publisher :
ISBN 13 :
Total Pages : 558 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Advances in Data Analysis for Prevention Intervention Research by :

Download or read book Advances in Data Analysis for Prevention Intervention Research written by and published by . This book was released on 1994 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Resources in Education

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Publisher :
ISBN 13 :
Total Pages : 1104 pages
Book Rating : 4.U/5 (183 download)

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Book Synopsis Resources in Education by :

Download or read book Resources in Education written by and published by . This book was released on 1986 with total page 1104 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dissertation Abstracts International

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ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by and published by . This book was released on 1985 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:

American Doctoral Dissertations

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Publisher :
ISBN 13 :
Total Pages : 574 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis American Doctoral Dissertations by :

Download or read book American Doctoral Dissertations written by and published by . This book was released on 1984 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:

MLA International Bibliography of Books and Articles on the Modern Languages and Literatures

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ISBN 13 :
Total Pages : 1144 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis MLA International Bibliography of Books and Articles on the Modern Languages and Literatures by :

Download or read book MLA International Bibliography of Books and Articles on the Modern Languages and Literatures written by and published by . This book was released on 1985 with total page 1144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Comprehensive Dissertation Index

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ISBN 13 :
Total Pages : 984 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Comprehensive Dissertation Index by :

Download or read book Comprehensive Dissertation Index written by and published by . This book was released on 1989 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Encyclopedia of Educational Research

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Publisher :
ISBN 13 : 9780029004500
Total Pages : 552 pages
Book Rating : 4.0/5 (45 download)

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Book Synopsis Encyclopedia of Educational Research by : Harold E. Mitzel

Download or read book Encyclopedia of Educational Research written by Harold E. Mitzel and published by . This book was released on 1982 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

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Publisher : CRC Press
ISBN 13 : 1498747906
Total Pages : 376 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials by : Toshiro Tango

Download or read book Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials written by Toshiro Tango and published by CRC Press. This book was released on 2017-09-14 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials. The author introduces a new repeated measures design called S:T design combined with mixed models as a practical and useful framework of parallel group RCT design because of easy handling of missing data and sample size reduction. The book emphasizes practical, rather than theoretical, aspects of statistical analyses and the interpretation of results. It includes chapters in which the author describes some old-fashioned analysis designs that have been in the literature and compares the results with those obtained from the corresponding mixed models. The book will be of interest to biostatisticians, researchers, and graduate students in the medical and health sciences who are involved in clinical trials. Author Website:Data sets and programs used in the book are available at http://www.medstat.jp/downloadrepeatedcrc.html

Randomization Tests

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ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Randomization Tests by : Eugene S. Edgington

Download or read book Randomization Tests written by Eugene S. Edgington and published by . This book was released on 1980 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random assignment; Calculating significance values; One-way analysis of variance and the independent t test; Repeated-measures analysis of variance and the correlated t test; Factorial designs; Multivariate designs; Correlation; Trend tests; One-subject randomization tests.

Longitudinal Data Analysis

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Publisher : CRC Press
ISBN 13 : 142001157X
Total Pages : 633 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Longitudinal Data Analysis by : Garrett Fitzmaurice

Download or read book Longitudinal Data Analysis written by Garrett Fitzmaurice and published by CRC Press. This book was released on 2008-08-11 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Experimental and Quasi-experimental Designs for Generalized Causal Inference

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Publisher : Cengage Learning
ISBN 13 :
Total Pages : 664 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Experimental and Quasi-experimental Designs for Generalized Causal Inference by : William R. Shadish

Download or read book Experimental and Quasi-experimental Designs for Generalized Causal Inference written by William R. Shadish and published by Cengage Learning. This book was released on 2002 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.

Practical Statistical Power Analysis

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Publisher : Isdsa Press
ISBN 13 : 9781946728029
Total Pages : 358 pages
Book Rating : 4.7/5 (28 download)

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Book Synopsis Practical Statistical Power Analysis by : Zhiyong Zhang

Download or read book Practical Statistical Power Analysis written by Zhiyong Zhang and published by Isdsa Press. This book was released on 2018-05 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of conducting a statistical power analysis at the beginning of a study is universally accepted. Without careful planning, a study can easily fail to detect an existing effect by chance. This book teaches how to conduct power analysis for a range of models from correlation and t-test to structural equation models and multilevel models. Both a graphical Web software WebPower and an R package are introduced to practically conduct the analysis.

Encyclopedia of Research Design

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Publisher : SAGE
ISBN 13 : 1412961270
Total Pages : 1779 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Encyclopedia of Research Design by : Neil J. Salkind

Download or read book Encyclopedia of Research Design written by Neil J. Salkind and published by SAGE. This book was released on 2010-06-22 with total page 1779 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.

Mixed Effects Models for Complex Data

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Publisher : CRC Press
ISBN 13 : 9781420074086
Total Pages : 431 pages
Book Rating : 4.0/5 (74 download)

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Book Synopsis Mixed Effects Models for Complex Data by : Lang Wu

Download or read book Mixed Effects Models for Complex Data written by Lang Wu and published by CRC Press. This book was released on 2009-11-11 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data. An overview of general models and methods, along with motivating examples After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values, measurement errors, censoring, and outliers. Self-contained coverage of specific topics Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models. Background material In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra. Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead to severely biased or misleading results. This book explores the biases that arise when naïve methods are used and shows which approaches should be used to achieve accurate results in longitudinal data analysis.

Linear Mixed Models for Longitudinal Data

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Publisher : Springer Science & Business Media
ISBN 13 : 1441903003
Total Pages : 579 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Linear Mixed Models for Longitudinal Data by : Geert Verbeke

Download or read book Linear Mixed Models for Longitudinal Data written by Geert Verbeke and published by Springer Science & Business Media. This book was released on 2009-05-12 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.

Multilevel Statistical Models

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Publisher : Hodder Education
ISBN 13 : 9780340595299
Total Pages : 178 pages
Book Rating : 4.5/5 (952 download)

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Book Synopsis Multilevel Statistical Models by : Harvey Goldstein

Download or read book Multilevel Statistical Models written by Harvey Goldstein and published by Hodder Education. This book was released on 1995 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The basic linear multilevel model and its estimation - Extensions to the basic multilevel model - The multivariate multilevel model - Nonlinear multilevel models - Models for repeated meadures data - Multilevel models for discrete response data - Multilevel cross classification - Multilevel event history models - Multilevel models with measurement errors - Software for multilevel modelling; missing data and multilevel structural equation models.

Statistical Parametric Mapping: The Analysis of Functional Brain Images

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Publisher : Elsevier
ISBN 13 : 0080466508
Total Pages : 689 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Statistical Parametric Mapping: The Analysis of Functional Brain Images by : William D. Penny

Download or read book Statistical Parametric Mapping: The Analysis of Functional Brain Images written by William D. Penny and published by Elsevier. This book was released on 2011-04-28 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. - An essential reference and companion for users of the SPM software - Provides a complete description of the concepts and procedures entailed by the analysis of brain images - Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data - Stands as a compendium of all the advances in neuroimaging data analysis over the past decade - Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes - Structured treatment of data analysis issues that links different modalities and models - Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible