Essentials Of Applied Quantitative Methods For Health Services
Download Essentials Of Applied Quantitative Methods For Health Services full books in PDF, epub, and Kindle. Read online free Essentials Of Applied Quantitative Methods For Health Services ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : James Lewis |
| Publisher | : Jones & Bartlett Learning |
| Total Pages | : 333 |
| Release | : 2011 |
| Genre | : Business & Economics |
| ISBN | : 076375871X |
Essentials of Applied Quantitative Methods for Health Services Management shows students how to use statistics in all aspects of health care administration. Offering careful, step-by-step instructions for calculations using Microsoft Excel, this hands-on resource begins with basic foundational competencies in statistics, and then walks the reader through forecasting, designing and analyzing systems, and project analysis. The text stresses the application of concepts, models, and techniques and provides problems involving all of the methods. It is intended to build a student management and planning tools repertoire. Ideal for junior and seniors in baccalaureate level health administration programs as well as first year graduate students in non-MBA health administration programs, this book requires limited previous knowledge of statistics; its mathematical dimension is equal to basic high school algebra.
| Author | : Christian L. Dunis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 426 |
| Release | : 2004-01-09 |
| Genre | : Business & Economics |
| ISBN | : 0470871342 |
This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, software and techniques that will enable the reader to implement and interpret quantitative methodologies, specifically for trading and investment. Includes contributions from an international team of academics and quantitative asset managers from Morgan Stanley, Barclays Global Investors, ABN AMRO and Credit Suisse First Boston. Fills the gap for a book on applied quantitative investment & trading models Provides details of how to combine various models to manage and trade a portfolio
| Author | : Gamini Gunawardane |
| Publisher | : World Scientific |
| Total Pages | : 515 |
| Release | : 2020-06-05 |
| Genre | : Business & Economics |
| ISBN | : 9813279532 |
This book aims to comprehensively address several modern concepts and practices in health care marketing not sufficiently addressed by existing literature. This includes the integrated nature of health care marketing, operations management, IT and human resource management; increased use of digital technology and social media; emphasis on enhancing customer-patient experience when strategizing and implementing health care marketing; application of modern services marketing concepts to health care marketing mix, among others.It also addresses recent changes in the U.S. health care industry. Some key issues covered are the increase in federal and state government involvement and oversight of health care delivery; increase in laws and regulations affecting health care management and marketing; growth of specialized health care markets such as Medicare, Medicaid and Affordable Care Act; globalization of health care and greater focus on legal and ethical health care marketing practices.Modern Health Care Marketing is an essential read to understand the integrated nature of health care marketing in the technologically driven, customer/patient-focused and globalized environment. It is also a useful reference for professionals to pick up best practices on addressing challenges faced in the modern health care industry.
| Author | : Thomas J. Quirk |
| Publisher | : Springer Nature |
| Total Pages | : 263 |
| Release | : 2020-11-21 |
| Genre | : Medical |
| ISBN | : 3030578283 |
This book shows the capabilities of Microsoft Excel in teaching health services management statistics effectively. Similar to the previously published Excel 2016 for Health Services Management Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical health services management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in health services courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2019 for Health Services Management Statistics: A Guide to Solving Practical Problems, 2nd Edition capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand health services management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.
| Author | : James A. Johnson |
| Publisher | : Jones & Bartlett Learning |
| Total Pages | : 130 |
| Release | : 2018-10-15 |
| Genre | : Law |
| ISBN | : 1284180670 |
This book is a primer focusing on systems thinking as it spans the domains of health administration, public health, and clinical practice. Currently, the accrediting commissions within public health, health administration, and nursing are including systems thinking as part of the core competencies in their respective fields and professions. Meanwhile, academic programs do not have the materials, other than journal articles, to give students the requisite understanding of systems thinking as is expected of the next generation of health professionals. This primer is designed to meet that void and serve as a supplemental reading for this important and timely topic. This is the only book of its kind that provides a broad introduction and demonstration of the application of health systems thinking.
| Author | : Yasar A. Ozcan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 6 |
| Release | : 2009-04-20 |
| Genre | : Medical |
| ISBN | : 0470449039 |
Thoroughly revised and updated for Excel®, this second edition of Quantitative Methods in Health Care Management offers a comprehensive introduction to quantitative methods and techniques for the student or new administrator. Its broad range of practical methods and analysis spans operational, tactical, and strategic decisions. Users will find techniques for forecasting, decision-making, facility location, facility layout, reengineering, staffing, scheduling, productivity, resource allocation, supply chain and inventory management, quality control, project management, queuing models for capacity, and simulation. The book's step-by-step approach, use of Excel, and downloadable Excel templates make the text highly practical. Praise for the Second Edition "The second edition of Dr. Ozcan's textbook is comprehensive and well-written with useful illustrative examples that give students and health care professionals a perfect toolkit for quantitative decision making in health care on the road for the twenty-first century. The text helps to explain the complex health care management problems and offer support for decision makers in this field." Marion Rauner, associate professor, School of Business, Economics, and Statistics, University of Vienna. "Quantitative Methods in Health Care Administration, Second Edition covers a broad set of necessary and important topics. It is a valuable text that is easy to teach and learn from." David Belson, professor, Department of Industrial Engineering, Viterbi School of Engineering, University of Southern California.
| Author | : Jason W. Osborne |
| Publisher | : SAGE |
| Total Pages | : 609 |
| Release | : 2008 |
| Genre | : Social Science |
| ISBN | : 1412940656 |
The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
| Author | : Thomas J. Quirk |
| Publisher | : Springer |
| Total Pages | : 262 |
| Release | : 2017-10-24 |
| Genre | : Social Science |
| ISBN | : 331966221X |
This text is a step-by-step guide for students taking a first course in statistics for social work and for social work managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics. There is no other text for a first course in social work statistics that teaches students, step-by-step, how to use Excel to solve interesting social work statistics problems. Excel 2016 for Social Work Statistics explains statistical formulas and offers practical examples for how students can solve real-world social work statistics problems. This book leaves detailed explanations of statistical theory to other statistics textbooks and focuses entirely on practical, real-world problem solving. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific social work statistics problems. This book gives practice in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus so as not to have to write formulas (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific practical social work statistics problem using Excel; the solution to each of these problems is also given in an Appendix.
| Author | : Thomas J. Quirk |
| Publisher | : Springer Nature |
| Total Pages | : 273 |
| Release | : 2021-04-01 |
| Genre | : Social Science |
| ISBN | : 3030682579 |
This text is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical social work problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social work courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Social Work Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social work problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.
| Author | : Paolo Brandimarte |
| Publisher | : John Wiley & Sons |
| Total Pages | : 812 |
| Release | : 2012-01-03 |
| Genre | : Mathematics |
| ISBN | : 111802348X |
An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.
