Data Science With R For Psychologists And Healthcare Professionals

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Data Science with R for Psychologists and Healthcare Professionals

Author : Christian Ryan
Publisher : CRC Press
ISBN 13 : 1000530566
Total Pages : 312 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data Science with R for Psychologists and Healthcare Professionals by : Christian Ryan

Download or read book Data Science with R for Psychologists and Healthcare Professionals written by Christian Ryan and published by CRC Press. This book was released on 2021-12-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to R for students of psychology and health sciences aims to fast-track the reader through some of the most difficult aspects of learning to do data analysis and statistics. It demonstrates the benefits for reproducibility and reliability of using a programming language over commercial software packages such as SPSS. The early chapters build at a gentle pace, to give the reader confidence in moving from a point-and-click software environment, to the more robust and reliable world of statistical coding. This is a thoroughly modern and up-to-date approach using RStudio and the tidyverse. A range of R packages relevant to psychological research are discussed in detail. A great deal of research in the health sciences concerns questionnaire data, which may require recoding, aggregation and transformation before quantitative techniques and statistical analysis can be applied. R offers many useful and transparent functions to process data and check psychometric properties. These are illustrated in detail, along with a wide range of tools R affords for data visualisation. Many introductory statistics books for the health sciences rely on toy examples - in contrast, this book benefits from utilising open datasets from published psychological studies, to both motivate and demonstrate the transition from data manipulation and analysis to published report. R Markdown is becoming the preferred method for communicating in the open science community. This book also covers the detail of how to integrate the use of R Markdown documents into the research workflow and how to use these in preparing manuscripts for publication, adhering to the latest APA style guidelines.

R for Health Data Science

Author : Ewen Harrison
Publisher : CRC Press
ISBN 13 : 1000226166
Total Pages : 354 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis R for Health Data Science by : Ewen Harrison

Download or read book R for Health Data Science written by Ewen Harrison and published by CRC Press. This book was released on 2020-12-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands – Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years’ combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.

Modern Data Science with R

Author : Benjamin S. Baumer
Publisher : CRC Press
ISBN 13 : 1498724493
Total Pages : 578 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Modern Data Science with R by : Benjamin S. Baumer

Download or read book Modern Data Science with R written by Benjamin S. Baumer and published by CRC Press. This book was released on 2017-03-16 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions. Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492097373
Total Pages : 579 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2023-06-08 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way. You'll understand how to: Visualize: Create plots for data exploration and communication of results Transform: Discover variable types and the tools to work with them Import: Get data into R and in a form convenient for analysis Program: Learn R tools for solving data problems with greater clarity and ease Communicate: Integrate prose, code, and results with Quarto

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

The Big R-Book

Author : Philippe J. S. De Brouwer
Publisher : John Wiley & Sons
ISBN 13 : 1119632722
Total Pages : 928 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis The Big R-Book by : Philippe J. S. De Brouwer

Download or read book The Big R-Book written by Philippe J. S. De Brouwer and published by John Wiley & Sons. This book was released on 2020-10-27 with total page 928 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business users Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a coherent framework Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R Shows readers how to visualize results in static and interactive reports Supplementary materials includes PDF slides based on the book’s content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.

Doing Data Science in R

Author : Mark Andrews
Publisher : Sage Publications Limited
ISBN 13 : 9781526486769
Total Pages : 456 pages
Book Rating : 4.4/5 (867 download)

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Book Synopsis Doing Data Science in R by : Mark Andrews

Download or read book Doing Data Science in R written by Mark Andrews and published by Sage Publications Limited. This book was released on 2021-04-10 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences

Predictive Analytics of Psychological Disorders in Healthcare

Author : Mamta Mittal
Publisher :
ISBN 13 : 9789811917257
Total Pages : 0 pages
Book Rating : 4.9/5 (172 download)

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Book Synopsis Predictive Analytics of Psychological Disorders in Healthcare by : Mamta Mittal

Download or read book Predictive Analytics of Psychological Disorders in Healthcare written by Mamta Mittal and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.

R for Everyone

Author : Jared P. Lander
Publisher : Addison-Wesley Professional
ISBN 13 : 0134546997
Total Pages : 1456 pages
Book Rating : 4.1/5 (345 download)

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Book Synopsis R for Everyone by : Jared P. Lander

Download or read book R for Everyone written by Jared P. Lander and published by Addison-Wesley Professional. This book was released on 2017-06-13 with total page 1456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

R for Political Data Science

Author : Francisco Urdinez
Publisher : CRC Press
ISBN 13 : 1000204472
Total Pages : 440 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis R for Political Data Science by : Francisco Urdinez

Download or read book R for Political Data Science written by Francisco Urdinez and published by CRC Press. This book was released on 2020-11-17 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.

R Programming: An Approach to Data Analytics

Author : G. Sudhamathy, C. Jothi Venkateswaran
Publisher : MJP Publisher
ISBN 13 :
Total Pages : 383 pages
Book Rating : 4./5 ( download)

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Book Synopsis R Programming: An Approach to Data Analytics by : G. Sudhamathy, C. Jothi Venkateswaran

Download or read book R Programming: An Approach to Data Analytics written by G. Sudhamathy, C. Jothi Venkateswaran and published by MJP Publisher. This book was released on 2019-06-03 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 1 - Basics of R, Chapter 2 - Data Types in R , Chapter 3 - Data Preparation. Chapter 4 - Graphics using R, Chapter 5 - Statistical Analysis Using R, Chapter 6 - Data Mining Using R, Chapter 7 - Case Studies. Huge volumes of data are being generated by many sources like commercial enterprises, scientific domains and general public daily. According to a recent research, data production will be 44 times greater in 2020 than it was in 2010. Data being a vital resource for business organizations and other domains like education, health, manufacturing etc., its management and analysis is becoming increasingly important. This data, due to its volume, variety and velocity, often referred to as Big Data, also includes highly unstructured data in the form of textual documents, web pages, graphical information and social media comments. Since Big Data is characterised by massive sample sizes, high dimensionality and intrinsic heterogeneity, traditional approaches to data management, visualisation and analytics are no longer satisfactorily applicable. There is therefore an urgent need for newer tools, better frameworks and workable methodologies for such data to be appropriately categorised, logically segmented, efficiently analysed and securely managed. This requirement has resulted in an emerging new discipline of Data Science that is now gaining much attention with researchers and practitioners in the field of Data Analytics.

R for Data Science Cookbook

Author : Yu-Wei, Chiu (David Chiu)
Publisher : Packt Publishing Ltd
ISBN 13 : 1784392049
Total Pages : 452 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis R for Data Science Cookbook by : Yu-Wei, Chiu (David Chiu)

Download or read book R for Data Science Cookbook written by Yu-Wei, Chiu (David Chiu) and published by Packt Publishing Ltd. This book was released on 2016-07-29 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques About This Book Gain insight into how data scientists collect, process, analyze, and visualize data using some of the most popular R packages Understand how to apply useful data analysis techniques in R for real-world applications An easy-to-follow guide to make the life of data scientist easier with the problems faced while performing data analysis Who This Book Is For This book is for those who are already familiar with the basic operation of R, but want to learn how to efficiently and effectively analyze real-world data problems using practical R packages. What You Will Learn Get to know the functional characteristics of R language Extract, transform, and load data from heterogeneous sources Understand how easily R can confront probability and statistics problems Get simple R instructions to quickly organize and manipulate large datasets Create professional data visualizations and interactive reports Predict user purchase behavior by adopting a classification approach Implement data mining techniques to discover items that are frequently purchased together Group similar text documents by using various clustering methods In Detail This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently. The first section deals with how to create R functions to avoid the unnecessary duplication of code. You will learn how to prepare, process, and perform sophisticated ETL for heterogeneous data sources with R packages. An example of data manipulation is provided, illustrating how to use the “dplyr” and “data.table” packages to efficiently process larger data structures. We also focus on “ggplot2” and show you how to create advanced figures for data exploration. In addition, you will learn how to build an interactive report using the “ggvis” package. Later chapters offer insight into time series analysis on financial data, while there is detailed information on the hot topic of machine learning, including data classification, regression, clustering, association rule mining, and dimension reduction. By the end of this book, you will understand how to resolve issues and will be able to comfortably offer solutions to problems encountered while performing data analysis. Style and approach This easy-to-follow guide is full of hands-on examples of data analysis with R. Each topic is fully explained beginning with the core concept, followed by step-by-step practical examples, and concluding with detailed explanations of each concept used.

An Introduction to Data Analysis in R

Author : Alfonso Zamora Saiz
Publisher : Springer Nature
ISBN 13 : 3030489973
Total Pages : 289 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis An Introduction to Data Analysis in R by : Alfonso Zamora Saiz

Download or read book An Introduction to Data Analysis in R written by Alfonso Zamora Saiz and published by Springer Nature. This book was released on 2020-07-27 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.

The Oxford Handbook of Clinical Psychology

Author : David H. Barlow
Publisher : Oxford University Press, USA
ISBN 13 : 0199328714
Total Pages : 977 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis The Oxford Handbook of Clinical Psychology by : David H. Barlow

Download or read book The Oxford Handbook of Clinical Psychology written by David H. Barlow and published by Oxford University Press, USA. This book was released on 2014 with total page 977 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Clinical Psychology synthesizes a half-century of clinical psychology literature in one extraordinary volume. Comprising chapters from the foremost scholars in the field, this handbook provides even and authoritative coverage of the research, practice, and policy factors that combine to form today's clinical psychology landscape. It is a landmark publication that is sure to serve as the field's benchmark reference publication for years to come.

The Use of Psychological Testing for Treatment Planning and Outcomes Assessment

Author : Mark E. Maruish
Publisher : Routledge
ISBN 13 : 1135630585
Total Pages : 516 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis The Use of Psychological Testing for Treatment Planning and Outcomes Assessment by : Mark E. Maruish

Download or read book The Use of Psychological Testing for Treatment Planning and Outcomes Assessment written by Mark E. Maruish and published by Routledge. This book was released on 2004-07-19 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Test-based psychological assessment has been significantly affected by the health care revolution in the United States during the past two decades. Despite new limitations on psychological services across the board and psychological testing in particular, it continues to offer a rapid and efficient method of identifying problems, planning and monitoring a course of treatment, and assessing the outcomes of interventions. This thoroughly revised and greatly expanded third edition of a classic reference, now three volumes, constitutes an invaluable resource for practitioners who in a managed care era need to focus their testing not on the general goals of personality assessment, symptom identification, and diagnosis so often presented to them as students and trainees, but on specific questions: What course of treatment should this person receive? How is it going? Was it effective? New chapters describe new tests and models and new concerns such as ethical aspects of outcomes assessment. Volume I reviews general issues and recommendations concerning the use of psychological testing for screening for psychological disturbances, planning and monitoring appropriate interventions, and the assessing outcomes, and offers specific guidelines for selecting instruments. It also considers more specific issues such as the analysis of group and individual patient data, the selection and implementation of outcomes instrumentation, and the ethics of gathering and using outcomes data. Volume II discusses psychological measures developed for use with younger children and adolescents that can be used for the purposes outlined in Volume I; Volume III, those developed for use with adults. Drawing on the knowledge and experience of a diverse group of leading experts--test developers, researchers, clinicians and others, the third edition of The Use of Psychological Testing for Treatment Planning and Outcomes Assessment provides vital assistance to all clinicians, and to their trainees and graduate students.

R for Medicine and Biology

Author : Paul D. Lewis
Publisher : Jones & Bartlett Learning
ISBN 13 : 9780763758080
Total Pages : 399 pages
Book Rating : 4.7/5 (58 download)

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Book Synopsis R for Medicine and Biology by : Paul D. Lewis

Download or read book R for Medicine and Biology written by Paul D. Lewis and published by Jones & Bartlett Learning. This book was released on 2010 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: R Is Quickly Becoming The Number One Choice For Users In The Fields Of Biology, Medicine, And Bioinformatics As Their Main Means Of Storing, Processing, Sharing, And Analyzing Biomedical Data. R For Medicine And Biology Is A Step-By-Step Guide Through The Use Of The Statistical Environment R, As Used In A Biomedical Domain. Ideal For Healthcare Professionals, Scientists, Informaticists, And Statistical Experts, This Resource Will Provide Even The Novice Programmer With The Tools Necessary To Process And Analyze Their Data Using The R Environment. Introductory Chapters Guide Readers In How To Obtain, Install, And Become Familiar With R And Provide A Clear Introduction To The Programming Language Using Numerous Worked Examples. Later Chapters Outline How R Can Be Used, Not Just For Biomedical Data Analysis, But Also As An Environment For The Processing, Storing, Reporting, And Sharing Of Data And Results. The Remainder Of The Book Explores Areas Of R Application To Common Domains Of Biomedical Informatics, Including Imaging, Statistical Analysis, Data Mining/Modeling, Pathology Informatics, Epidemiology, Clinical Trials, And Metadata Usage. R For Medicine And Biology Will Provide You With A Single Desk Reference For The R Environment And Its Many Capabilities.

Psychological Testing in the Age of Managed Behavioral Health Care

Author : Mark E. Maruish
Publisher : Routledge
ISBN 13 : 1135656347
Total Pages : 365 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Psychological Testing in the Age of Managed Behavioral Health Care by : Mark E. Maruish

Download or read book Psychological Testing in the Age of Managed Behavioral Health Care written by Mark E. Maruish and published by Routledge. This book was released on 2001-08 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a recognized expert in assessment employed by a large managed behavioral healthcare organization (MBHO), this book seeks to provide psychologists who rely on testing as an integral part of their practice, a guide on how to survive and thrive in the era of managed behavioral healthcare. It also offers ideas on how to capitalize on the opportunities that managed care presents to psychologists. The goal is to demonstrate that despite the tightening of the reins on authorizations for reimbursable testing, psychological testing can continue to play an important role in psychological practice and behavioral healthcare service delivery. The book presents ideas for: *increasing the likelihood of getting tests authorized by MBHOs; *using inexpensive/public domain assessment instruments; *ethically using psychological testing in MBHO settings; *capitalizing on the movement to integrate primary care and behavioral healthcare through the use of psychological testing; and *designing and implementing outcomes assessment systems within MBHO settings. Intended for practicing psychologists and other behavioral health practitioners employed by MBHOs in direct service delivery, care management or supervisory positions, as well as for graduate clinical or counseling psychology students who will most likely work in MBHO settings.