Introduction to Health Care Quality: Theory, Methods, and Tools, Yosef D. Dlugacz
Автор: Becketti Название: Introduction to Time Series Using Stata ISBN: 1597181323 ISBN-13(EAN): 9781597181327 Издательство: Taylor&Francis Рейтинг: Цена: 8546 р. Наличие на складе: Невозможна поставка.
Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.
Автор: Plichta Название: Munros Statistical methods health care 6E ISBN: 1451187947 ISBN-13(EAN): 9781451187946 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 7623 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.
Автор: Donabedian, Avedis Название: Introduction to quality assurance in health care ISBN: 0195158091 ISBN-13(EAN): 9780195158090 Издательство: Oxford Academ Рейтинг: Цена: 2817 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume deals with formal process of monitoring health care quality in an organization or system. After defining the components of health care quality such as efficacy, efficiency and acceptability, it describes the steps for monitoring and improving clinical performance in simple, clear terms.
Описание: Financial Management of Health Care Organizations Fourth Edition This thoroughly revised and updated fourth edition of Financial Management of Health Care Organizations offers an introduction to the tools and techniques of health care financial manage
Автор: Nadeau Jay Название: Introduction to experimental biophysics ISBN: 1439829535 ISBN-13(EAN): 9781439829530 Издательство: Taylor&Francis Рейтинг: Цена: 7275 р. Наличие на складе: Поставка под заказ.
Описание: Increasing numbers of physicists, chemists, and mathematicians are moving into biology, reading literature across disciplines, and mastering novel biochemical concepts. To succeed in this transition, researchers must understand on a practical level what is experimentally feasible. The number of experimental techniques in biology is vast and often specific to particular subject areas; nonetheless, there are a few basic methods that provide a conceptual underpinning for broad application. Introduction to Experimental Biophysics is the ideal benchtop companion for physical scientists interested in getting their hands wet. Assuming familiarity with basic physics and the scientific method but no previous background in biology or chemistry, this book provides: * A thorough description of modern experimental and analytical techniques used in biological and biophysical research * Practical information and step-by-step guidance on instrumentation and experimental design * Recipes for common solutions and media, lists of important reagents, and a glossary of biological terms used Developed for graduate students in biomedical engineering, physics, chemical engineering, chemistry, mathematics, and computer science, Introduction to Experimental Biophysics is an essential resource for scientists to overcoming conceptual and technical barriers to working in a biology wet lab.
Описание: Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Markov chains, more example data of the normal distribution, and more attention on conditional expectation. It also includes additional problems from Actuarial Exam P as well as new examples, exercises, and data sets. The accompanying CD-ROM contains updated Mathematica notebooks and a revised solutions manual is available for qualifying instructors.
Описание: Before the development of lasers, all available light sources, whether used in laboratories or found in nature, generated light which underwent uncontrollable fluctuations inherent in the emission process. Such fluctuations are detrimental to many applications. This effect is almost completely suppressed in laser radiation, making it possible to use lasers for a variety of applications. The underlying theory of fluctuating optical fields is known as coherence theory. Another manifestation of the fluctuations is the so-called phenomenon of polarization. This book is the first to provide a unified treatment of these two aspects of statistical optics, made possible by very recent discoveries, largely due to the author of this book. This will be of great interest to graduate students and researchers in physics and engineering in optical communications, the propagation of laser beams through fibers and through the turbulent atmosphere, and optical image formation. Each chapter contains problems to aid self-study.
This book provides an in-depth and self-contained treatment of the latest advances achieved in quantitative spectroscopic analyses of the observable outer layers of stars and similar objects. Written by two leading researchers in the field, it presents a comprehensive account of both the physical foundations and numerical methods of such analyses. The book is ideal for astronomers who want to acquire deeper insight into the physical foundations of the theory of stellar atmospheres, or who want to learn about modern computational techniques for treating radiative transfer in non-equilibrium situations. It can also serve as a rigorous yet accessible introduction to the discipline for graduate students.Provides a comprehensive, up-to-date account of the fieldCovers computational methods as well as the underlying physicsServes as an ideal reference book for researchers and a rigorous yet accessible textbook for graduate studentsAn online illustration package is available to professors at press.princeton.edu
Описание: This is the second edition of a popular textbook on statistical methods in clinical trials. It is aimed at graduate students in biostatistics, so is rigorous with respect to the methodology but also includes lots of real examples of applications. The second edition has been updated with an additional editor, new references throughout, lots more examples and new datasets, many more exercises, and SAS and R code throughout. It is widely-used for teaching, and with the addition of the extra exercises and computer code, its use for teaching is likely to expand substantially.
Описание: With amusing anecdotes and trivia, this text explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. It introduces basic concepts of inference through a careful study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. The text also presents many applications, supporting data sets, and end-of-chapter exercises. The R code and data sets are available for download online and a solutions manual is available for qualifying instructors.
Описание: Whilst the ‘health sciences’ are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills required to analyse them are very similar. Moreover, the ability to appraise and conduct research is emphasised within the health sciences – and students are expected increasingly to do both. Introduction to Research Methods and Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis. Divided into the three strands that run throughout quantitative health science research – critical numbers, critical appraisal of existing research, and conducting new research – this accessible textbook introduces: Descriptive statistics Measures of association for categorical and continuous outcomes Confounding, effect modification, mediation and causal inference Critical appraisal Searching the literature Randomised controlled trials Cohort studies Case-control studies Research ethics and data management Dissemination and publication Linear regression for continuous outcomes Logistic regression for categorical outcomes. A dedicated companion website offers additional teaching and learning resources for students and lecturers, including screenshots, R programming code, and extensive self-assessment material linked to the book’s exercises and activities. Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data, it is essential reading for all undergraduate and postgraduate students in the health and medical sciences.
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