Автор: Abraham L Kierszenbaum Название: Histology and Cell Biology: An Introduction to Pathology, ISBN: 0323313302 ISBN-13(EAN): 9780323313308 Издательство: Elsevier Science Рейтинг: Цена: 6687 р. Наличие на складе: Есть (1 шт.) Описание: Description
Fully integrating histology, cell biology, and pathology, the 4th Edition of the award-winning Histology and Cell Biology: An Introduction to Pathology presents key concepts in an understandable, easy-to-digest manner. Authors Abraham L. Kierszenbaum, MD, PhD and Laura L. Tres MD, PhD link basic science to clinical application throughout, focusing on what you need to know for your coursework now – and how to apply that information in a clinical setting . Full-color illustrations on every page, as well as unique, student-friendly features online, help you quickly grasp the complexities of pathologic abnormalities.

Автор: S. V. Mahadevan, Gus M. Garmel (ed) Название: An Introduction to Clinical Emergency Medicine ISBN: 0521747767 ISBN-13(EAN): 9780521747769 Издательство: Cambridge Academ Рейтинг: Цена: 12769 р. Наличие на складе: Есть (более 5-х шт.) Описание: Building on the strengths of its award-winning predecessor, this new edition of An Introduction to Clinical Emergency Medicine is a must-have resource for individuals training and practising in this challenging specialty. Guided by the patient's chief complaint, this text presents a concise, methodical approach to patient evaluation, management and problem solving in the Emergency Department. Unlike other textbooks, which elaborate on known diagnoses, this extraordinary book approaches clinical problems as clinicians approach patients - without full knowledge of the final diagnosis. Fully revised and updated, the second edition includes new chapters on sepsis, bleeding, burns, neonatal, alcohol-related, and dental emergencies. Stunning full-color chapters include clinical images (photographs, ECGs and radiologic studies), detailed illustrations and practical tables. Written and edited by experienced educators, researchers, and practitioners in Emergency Medicine, this text is core reading for students and residents, and an important resource for practising emergency physicians, faculty, and other healthcare providers.

Автор: Thompson John Название: Bayesian Analysis with Stata ISBN: 1597181412 ISBN-13(EAN): 9781597181419 Издательство: Taylor&Francis Рейтинг: Цена: 6467 р. Наличие на складе: Поставка под заказ.

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Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.

The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.

The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book's content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.

Автор: Cameron Название: Microeconometrics Using Stata ISBN: 1597180734 ISBN-13(EAN): 9781597180733 Издательство: Taylor&Francis Рейтинг: Цена: 9470 р. Наличие на складе: Поставка под заказ.

Описание: Updated to reflect Stata 11, this revised edition offers a complete and up-to-date survey of microeconometric methods available in Stata. The authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.

Автор: Kohler Название: Data Analysis Using Stata, Third Edition ISBN: 1597181102 ISBN-13(EAN): 9781597181105 Издательство: Taylor&Francis Рейтинг: Цена: 8430 р. Наличие на складе: Невозможна поставка.

Описание: Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Автор: Yaffee, Robert| Название: An Introduction to Forecasting Time Series Using Stata ISBN: 1597180157 ISBN-13(EAN): 9781597180153 Издательство: Taylor&Francis Рейтинг: Цена: 6236 р. Наличие на складе: Поставка под заказ.

Описание: Explores forecasting times series with Stata 10. This work presents theory, modeling, programming, and interpretation of the major time series models, along with interesting applications to business and risk analysis in finance. It shows how to apply these techniques to real-life social science, economic, business, financial and medical data.

Автор: Baum, Christopher F.| Название: An Introduction to Stata Programming ISBN: 1597180459 ISBN-13(EAN): 9781597180450 Издательство: Taylor&Francis Рейтинг: Цена: 5196 р. Наличие на складе: Поставка под заказ.

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This work focuses on three types of Stata programming: do-file programming, ado-file programming, and Mata functions that work in conjunction with do- and ado-files. It explains how to usefully automate work with Stata and how to use Stata more effectively through programming on one or more of these levels. After presenting elementary concepts of the command-line interface and commonly used tools for working with programs and data sets, the text follows a unique format by offering "cookbook" chapters after each main chapter. These cookbook chapters look at how to perform a specific programming task with Stata and provide a complete solution to the problem. The text also includes numerous examples of Mata, Stata's matrix programming language.

Автор: Flick, Uwe Название: Introduction to qualitative research 4/e ISBN: 1847873243 ISBN-13(EAN): 9781847873248 Издательство: Sage Publications Рейтинг: Цена: 3450 р. Наличие на складе: Поставка под заказ.

Описание: This highly successful text is easily the most extensive introduction to qualitative methods in terms of its breadth and depth of coverage. For this new edition the author has done a lot of work to improve the style and readability, and the book now also includes chapters on grounded theory and on frontiers in qualitative research.

Описание: An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to learn survival analysis for the first time or who are well versed in survival analysis but are not as dexterous in using Stata to analyze survival data. This text also serves as a valuable reference to those readers who already have experience using Stata’s survival analysis routines. The revised third edition has been updated for Stata 14, and it includes a new section on predictive margins and marginal effects, which demonstrates how to obtain and visualize marginal predictions and marginal effects using the margins and marginsplot commands after survival regression models. Survival analysis is a field of its own that requires specialized data management and analysis procedures. To meet this requirement, Stata provides the st family of commands for organizing and summarizing survival data. This book provides statistical theory, step-by-step procedures for analyzing survival data, an in-depth usage guide for Stata's most widely used st commands, and a collection of tips for using Stata to analyze survival data and to present the results. This book develops from first principles the statistical concepts unique to survival data and assumes only a knowledge of basic probability and statistics and a working knowledge of Stata. The first three chapters of the text cover basic theoretical concepts: hazard functions, cumulative hazard functions, and their interpretations; survivor functions; hazard models; and a comparison of nonparametric, semiparametric, and parametric methodologies. Chapter 4 deals with censoring and truncation. The next three chapters cover the formatting, manipulation, stsetting, and error checking involved in preparing survival data for analysis using Stata's st analysis commands. Chapter 8 covers nonparametric methods, including the Kaplan–Meier and Nelson–Aalen estimators and the various nonparametric tests for the equality of survival experience. Chapters 9–11 discuss Cox regression and include various examples of fitting a Cox model, obtaining predictions, interpreting results, building models, model diagnostics, and regression with survey data. The next four chapters cover parametric models, which are fit using Stata's streg command. These chapters include detailed derivations of all six parametric models currently supported in Stata and methods for determining which model is appropriate, as well as information on stratification, obtaining predictions, and advanced topics such as frailty models. Chapter 16 is devoted to power and sample-size calculations for survival studies. The final chapter covers survival analysis in the presence of competing risks.

Автор: Acock Alan C Название: Gentle Introduction to Stata ISBN: 1597181099 ISBN-13(EAN): 9781597181099 Издательство: Taylor&Francis Цена: 5774 р. Наличие на складе: Поставка под заказ.

Автор: Elliott Jennifer Название: Introduction to Sustainable Development ISBN: 0415590736 ISBN-13(EAN): 9780415590730 Издательство: Taylor&Francis Рейтинг: Цена: 4388 р. Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Thisfourth edition has been comprehensively rewritten and updated to provide a concise, well illustrated and accessible introduction to the characteristics, challenges and opportunities of sustainable development with particular reference to developing countries. The contested nature of sustainable development is explored through a detailed consideration of changing ideas and practices within environmentalism and development thinking.The text identifies the different actors involved (from institutions of global governance through to community based organisations), the policies and mechanisms through which sustainable development is being sought and considers the outcomes for particular groups and environments in both rural and urban contexts. ?? This edition places stronger emphasis on the global challenges of sustainable development with an understanding of inter-linked crises in climate, energy, economy, poverty and social injustice. It explores how these issues are leading to deep questioning of what sustainable development is, what it should be, and how sustainable development policies and mechanisms are being reconsidered.The book gives new consideration to the challenge of achieving lower carbon growth, climate adaptation, and the implications on sustainable development of rapidly expanding economies, including China and India.It contains greater discussion of how civil society movements influence outcomes of international climate policy, as well as technological developments in energy and agriculture. The text also contains a substantially expanded discussion of how poverty remains central to sustainable development challenges, as revealed through the Millennium Ecosystem Assessment and Millennium Development Goals. This invaluable text retains the core message that sustainable development has become central to debates about environment and development.Containing a substantial number of new boxed case studies, learning outcomes, chapter summaries, discussion questions, further reading and websites, this text provides an essential introduction for students.

Автор: Baum Название: An Introduction to Modern Econometrics Using Stata ISBN: 1597180130 ISBN-13(EAN): 9781597180139 Издательство: Taylor&Francis Рейтинг: Цена: 10047 р. Наличие на складе: Поставка под заказ.

Описание: Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, this introduction illustrates how to apply econometric theories used in modern empirical research using Stata. The author emphasizes the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how to apply the theories to real data sets. The book first builds familiarity with the basic skills needed to work with econometric data in Stata before delving into the core topics, which range from the multiple linear regression model to instrumental-variables estimation.

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