Applied Meta Analysis With R

Applied Meta Analysis with R PDF
Author: Ding-Geng (Din) Chen
Publisher: CRC Press
ISBN: 1466506008
Size: 19.18 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 342
View: 3107
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Applied Meta Analysis With R

by Ding-Geng (Din) Chen, Applied Meta Analysis With R Books available in PDF, EPUB, Mobi Format. Download Applied Meta Analysis With R books, In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis methods to real data using R. Drawing on their extensive research and teaching experiences, the authors provide detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R packages and functions. This systematic approach helps readers thoroughly understand the analysis methods and R implementation, enabling them to use R and the methods to analyze their own meta-data. Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R) in public health, medical research, governmental agencies, and the pharmaceutical industry.




Modeling Techniques In Predictive Analytics With Python And R

Modeling Techniques in Predictive Analytics with Python and R PDF
Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Size: 74.57 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 448
View: 1177
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Modeling Techniques In Predictive Analytics With Python And R

by Thomas W. Miller, Modeling Techniques In Predictive Analytics With Python And R Books available in PDF, EPUB, Mobi Format. Download Modeling Techniques In Predictive Analytics With Python And R books, Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more




Research Synthesis And Meta Analysis

Research Synthesis and Meta Analysis PDF
Author: Harris Cooper
Publisher: SAGE Publications
ISBN: 1483347052
Size: 47.61 MB
Format: PDF, Kindle
Category : Social Science
Languages : en
Pages : 384
View: 1491
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Research Synthesis And Meta Analysis

by Harris Cooper, Research Synthesis And Meta Analysis Books available in PDF, EPUB, Mobi Format. Download Research Synthesis And Meta Analysis books, The Fifth Edition of Harris Cooper's bestselling Research Synthesis and Meta-Analysis: A Step-by-Step Approach offers practical advice on how to conduct a synthesis of research in the social, behavioral, and health sciences. The book is written in plain language with four running examples drawn from psychology, education, and health science. With ample coverage of literature searching and the technical aspects of meta-analysis, this one-of-a-kind book applies the basic principles of sound data gathering to the task of producing a comprehensive assessment of existing research.




Applied Meta Analysis For Social Science Research

Applied Meta Analysis for Social Science Research PDF
Author: Noel A. Card
Publisher: Guilford Publications
ISBN: 1462525008
Size: 20.95 MB
Format: PDF
Category : Psychology
Languages : en
Pages : 377
View: 2829
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Applied Meta Analysis For Social Science Research

by Noel A. Card, Applied Meta Analysis For Social Science Research Books available in PDF, EPUB, Mobi Format. Download Applied Meta Analysis For Social Science Research books, Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ




Modeling Techniques In Predictive Analytics

Modeling Techniques in Predictive Analytics PDF
Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133886190
Size: 70.75 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 384
View: 7287
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Modeling Techniques In Predictive Analytics

by Thomas W. Miller, Modeling Techniques In Predictive Analytics Books available in PDF, EPUB, Mobi Format. Download Modeling Techniques In Predictive Analytics books, To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more




Visible Learning For Teachers

Visible Learning for Teachers PDF
Author: John Hattie
Publisher: Routledge
ISBN: 1000039331
Size: 26.82 MB
Format: PDF, ePub
Category : Education
Languages : en
Pages : 302
View: 2323
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Visible Learning For Teachers

by John Hattie, Visible Learning For Teachers Books available in PDF, EPUB, Mobi Format. Download Visible Learning For Teachers books, In November 2008, John Hattie’s ground-breaking book Visible Learning synthesised the results of more than fifteen years research involving millions of students and represented the biggest ever collection of evidence-based research into what actually works in schools to improve learning. Visible Learning for Teachers takes the next step and brings those ground breaking concepts to a completely new audience. Written for students, pre-service and in-service teachers, it explains how to apply the principles of Visible Learning to any classroom anywhere in the world. The author offers concise and user-friendly summaries of the most successful interventions and offers practical step-by-step guidance to the successful implementation of visible learning and visible teaching in the classroom. This book: links the biggest ever research project on teaching strategies to practical classroom implementation champions both teacher and student perspectives and contains step by step guidance including lesson preparation, interpreting learning and feedback during the lesson and post lesson follow up offers checklists, exercises, case studies and best practice scenarios to assist in raising achievement includes whole school checklists and advice for school leaders on facilitating visible learning in their institution now includes additional meta-analyses bringing the total cited within the research to over 900 comprehensively covers numerous areas of learning activity including pupil motivation, curriculum, meta-cognitive strategies, behaviour, teaching strategies, and classroom management. Visible Learning for Teachers is a must read for any student or teacher who wants an evidence based answer to the question; ‘how do we maximise achievement in our schools?’




Statistical Meta Analysis With Applications

Statistical Meta Analysis with Applications PDF
Author: Joachim Hartung (Prof. Dr.)
Publisher: Wiley-Interscience
ISBN:
Size: 32.43 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 247
View: 576
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Statistical Meta Analysis With Applications

by Joachim Hartung (Prof. Dr.), Statistical Meta Analysis With Applications Books available in PDF, EPUB, Mobi Format. Download Statistical Meta Analysis With Applications books, "Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies."--Jacket.




Mentoring In Nursing

Mentoring in Nursing PDF
Author: Sheila C. Grossman, PhD, APRN-BC, FAAN
Publisher: Springer Publishing Company
ISBN: 0826107699
Size: 27.24 MB
Format: PDF, ePub
Category : Medical
Languages : en
Pages : 212
View: 1832
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Mentoring In Nursing

by Sheila C. Grossman, PhD, APRN-BC, FAAN, Mentoring In Nursing Books available in PDF, EPUB, Mobi Format. Download Mentoring In Nursing books, Transformative Learning Theory offers a uniquely inclusive methodology across all levels of nursing education for educators and students focused on common nursing arenas and situations. This is the only book to present practical, innovative strategies for novice and experienced nurse educators to apply Transformative Learning Theory in various curricula, courses, and learning situations. Geared for adult and returning students, the text addresses common learning issues from both learner and teacher perspectives, enabling educators and students to apply Transformative Learning to evaluate their own authentic transformation throughout their careers. Key Features: Offers a uniquely inclusive theory and methodology "Transformative Learning Theory" across degree levels for educators and students Includes practical learning strategies and activities for a broad nursing curriculum Addresses the needs of novice nurse educators with clinical, but limited pedagogical, expertise and experienced nurse educators seeking new frameworks and techniques Provides direct application for classroom, online, or hybrid learning environments Covers all aspects of simulation Designed for graduate nursing education courses




Meta Analysis

Meta analysis PDF
Author: Ralf Schulze
Publisher: Hogrefe & Huber Pub
ISBN:
Size: 51.69 MB
Format: PDF, Docs
Category : Psychology
Languages : en
Pages : 242
View: 3683
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Meta Analysis

by Ralf Schulze, Meta Analysis Books available in PDF, EPUB, Mobi Format. Download Meta Analysis books, Meta-analysis has become the standard method for summarizing research findings in many scientific fields. This book provides a comprehensive treatment and comparison of the statistical procedures available for meta-analysis with correlations as effect sizes.




Applied Statistics

Applied Statistics PDF
Author:
Publisher:
ISBN:
Size: 49.46 MB
Format: PDF, ePub
Category : Statistics
Languages : en
Pages :
View: 7419
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Applied Statistics

by , Applied Statistics Books available in PDF, EPUB, Mobi Format. Download Applied Statistics books, Series C (Applied Statistics) of the Journal of the Royal Statistical Society was founded in 1952. It promotes papers that are driven by real life problems and that make a novel contribution to the subject.