Statistics for health data science, Etzioni, Ruth Mandel, Micha Gulati, Roman
Автор: Elmore Joann G. Название: Jekel`s Epidemiology, Biostatistics, Preventive Medicine, and Public Health. - 5 ed. ISBN: 0323642012 ISBN-13(EAN): 9780323642019 Издательство: Elsevier Science Рейтинг: Цена: 5658.00 р. 8083.00-30% Наличие на складе: Есть (5 шт.) Описание: Written by renowned epidemiologists and public health experts, this unique text provides complete, concise coverage of epidemiology, biostatistics, preventive medicine, and public health in clear, easy-to-understand terms. One convenient volume delivers must-know content in four complex areas-information that's sure to be covered in today's classrooms and on USMLE exams-presented with a clinical focus and real-life medical examples throughout. Depth of coverage, concise writing style, outstanding online review questions, a clinical emphasis .
these features and more make Jekel's your go-to resource for learning, study, and review. Focuses on clinical problem solving and decision making using epidemiologic concepts and examples. Contains more clinical cases throughout, including global examples.
Offers expanded coverage of the impact of big data and precision medicine, as well as an updated and reorganized biostatistics section. Features quick-reference boxes that showcase key concepts and calculations, and dynamic illustrations that facilitate learning using a highly visual approach. Provides almost 300 multiple-choice chapter review questions and answers in print, with additional questions and more online at Student Consult.
Aligns content to board blueprints for the USMLE as well as the three specialties certified by the American Board of Preventive Medicine: Occupational Medicine, and Public Health & General Preventive Medicine-and is recommended by the ABPM as a top review source for its core specialty examination. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all the text, figures, and references from the book on a variety of devices.
Evolve Instructor site, with an image and table bank as well as chapter overviews as PowerPoints, is available to instructors through their Elsevier sales rep or via request at: https://evolve.elsevier.com.
Автор: Turnock, Bernard J. Название: Essentials of Public Health, Third Edition/ Turnock, Bernard J. Jones & Bartlett, 2016 9781284069358 ISBN: 1284069354 ISBN-13(EAN): 9781284069358 Издательство: Jones & Bartlett Рейтинг: Цена: 7834.00 р. 11191.00-30% Наличие на складе: Есть (более 5-х шт.) Описание: As one of the foundational texts in the Essential Public Health series, Essentials of Public Health is an excellent introduction to the field of public health. Written for senior-level undergraduates or graduate students in public health, health science, nursing, and other health professions, Essentials of Public Health gives special focus to public health careers and the workings of public health agencies. Combining the best elements of Dr. Turnock's other books: Public Health: What It Is and How It Works and Public Health: Career Choices That Make a Difference, Essentials of Public Health, Third Edition, uses clear, reader-friendly language and helpful learning tools such as chapter exercises and discussion questions, making it an ideal text to prepare your students for the profession of public health. New to the Third Edition: Comprehensive new coverage of topics such as: the implementation of the Affordable Care Act, strategic planning, accreditation of public health organizations and credentialing of public health workers Extensive information on state and local public health practice derived from national surveys conducted since 2012 Two separate chapters on Community Public Health Practice and Emergency Preparedness (formerly covered in one single chapter) New conceptual frameworks for the public health system, overall health system, and public health workforce An examination of an additional 16 different public health occupations--a total of 39 covered in all More than 60 new or revised charts and tables and a series of "outside-the-book thinking" exercises appears in each chapter. This book: Defines and describes the public health system Provides concepts and tools for measuring health in populations Characterizes the relationship of the public health system with medical care and other elements of the overall health system Identifies government's unique contributions through federal, state, and local public health agencies Offers basic information on the size and composition of the public health workforce Addresses careers and jobs in public health administration, epidemiology, public health nursing, health education, and more.
Автор: Joseph K. Blitzstein, Jessica Hwang Название: Introduction to Probability, Second Edition ISBN: 1138369918 ISBN-13(EAN): 9781138369917 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.
Автор: Gelman Название: Bayesian Data Analysis, Third Edition ISBN: 1439840954 ISBN-13(EAN): 9781439840955 Издательство: Taylor&Francis Рейтинг: Цена: 11088.00 р. Наличие на складе: Ожидается поступление.
Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.
Автор: Michael C. Whitlock, Dolph Schluter Название: The Analysis of Biological Data ISBN: 1319325343 ISBN-13(EAN): 9781319325343 Издательство: Macmillan Learning Рейтинг: Цена: 14452.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
Автор: Caro J. Jaime, Moller Jorgen, Stahl James Название: Discrete Event Simulation for Health Technology Assessment ISBN: 1482218240 ISBN-13(EAN): 9781482218244 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Discover How to Apply DES to Problems Encountered in HTA
Discrete event simulation (DES) has traditionally been used in the engineering and operations research fields. The use of DES to inform decisions about health technologies is still in its infancy. Written by specialists at the forefront of this area, Discrete Event Simulation for Health Technology Assessment is the first book to make all the central concepts of DES relevant for health technology assessment (HTA). Accessible to beginners, the book requires no prerequisites and describes the concepts with as little jargon as possible.
The book first covers the essential concepts and their implementation. It next provides a fully worked out example using both a widely available spreadsheet program (Microsoft Excel) and a popular specialized simulation package (Arena). It then presents approaches to analyze the simulations, including the treatment of uncertainty; tackles the development of the required equations; explains the techniques to verify that the models are as efficient as possible; and explores the indispensable topic of validation. The book also covers a variety of non-essential yet handy topics, such as the animation of a simulation and extensions of DES, and incorporates a real case study involving screening strategies for breast cancer surveillance.
This book guides you in leveraging DES in your assessments of health technologies. After reading the chapters in sequence, you will be able to construct a realistic model designed to help in the assessment of a new health technology.
A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics
This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.
Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.
Fulfills the need for an updated and unified treatment of matrix differential calculus
Contains many new examples and exercises based on questions asked of the author over the years
Covers new developments in field and features new applications
Written by a leading expert and pioneer of the theory
Part of the Wiley Series in Probability and Statistics
Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Автор: Morgan Название: Counterfactuals and Causal Inference ISBN: 1107694167 ISBN-13(EAN): 9781107694163 Издательство: Cambridge Academ Рейтинг: Цена: 5702.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.
Автор: Magnusson Brianna, Stampfel Caroline Название: SAS Data Management for Public Health ISBN: 1516596471 ISBN-13(EAN): 9781516596478 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 17926.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
SAS Data Management for Public Health: An Introduction equips readers with the tools and knowledge they need to prepare public health data in SAS Data Management software for use in analysis. Highly accessible in nature, the book is specifically designed to help students who are new to SAS learn and master the system.
The book is organized into 20 lessons. The opening lessons introduce SAS and provide tips and best practices for exploring data. Students are introduced to PROC MEANS, FREQ, UNIVARIATE, and PROC SGPLOT. They learn how to import data; merge, concatenate, and manage variables; perform data cleanup; and recode categorical and continuous variables. Specific lessons address comments, labels, and titles, formatting variables, conditional recoding, DO groups, arrays for recoding, and categorical data analysis. Closing lessons introduce stratified and subpopulation analysis, as well as logistic regression. The book includes an appendix to help students navigate and use SAS Studio.
SAS Data Management for Public Health is an ideal resource for standalone courses in which SAS is taught or to complement any biostatistics or epidemiology course where students need to use SAS to analyze their data.
Brianna Magnusson holds a Ph.D. in epidemiology and a M.P.H. from Virginia Commonwealth University. She is an associate professor in the Department of Public Health at Brigham Young University. Dr. Magnusson's research focuses on sexual and reproductive health with emphasis on factors influencing sexual decision-making.
Caroline Stampfel holds an M.P.H. with a concentration in environmental epidemiology from the Yale School of Public Health. She serves as the director of programs for the Association of Maternal & Child Health Programs and leads a team of maternal and child health experts using data-driven, innovative approaches to improve the health and well-being of women, children, youth, families, and communities.
Описание: Fundamental Statistics for the Social, Behavioral, and Health Sciences presents students with instructional material in a clear, concise way and features exercises that get students thinking about how to use statistics in applied settings.
The text opens with coverage of foundational concepts in descriptive statistics, including frequency distribution, central tendency, and variability. Additional chapters guide students through their first journey into inferential statistics.
The book is highly accessible, features clear examples and graphs, and challenges students to apply what they learn to a variety of situations. It includes step-by-step instructions on using IBM SPSS Statistics.
The second edition includes a new chapter on Chi-Square statistics. Additionally, information and examples throughout the text have been updated.
Fundamental Statistics for the Social, Behavioral, and Health Sciences is an ideal resource for foundational courses in statistics.
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