Statistics Using Stata: An Integrative Approach, Sharon Lawner Weinberg, Sarah Knapp Abramowitz
Автор: Tom M. Palmer and Jonathan A. C. Sterne (editors) Название: Meta-Analysis in Stata ISBN: 1597181471 ISBN-13(EAN): 9781597181471 Издательство: Taylor&Francis Рейтинг: Цена: 77570.00 T Наличие на складе: Невозможна поставка. Описание: Meta-analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. This collection of articles from the Stata Journal and Stata Technical Bulletin will be indispensable to researchers who wish to conduct meta-analyses using Stata and learn about the full range of user-written Stata meta-analysis commands. With these articles and the associated Stata software, you gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social and medical literature. Collectively, the articles provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analyses; how to produce highly flexible graphical displays; how to use meta-regression; how to examine bias; how to conduct individual participant data meta-analysis; and how to conduct multivariate meta-analysis. This edition also contains three articles on network metaanalysis, a major recent development in meta-analysis methodology.
Автор: Cox Название: One Hundred Nineteen Stata Tips ISBN: 1597181439 ISBN-13(EAN): 9781597181433 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Поставка под заказ. Описание: One Hundred Nineteen Stata Tips provides concise and insightful notes about commands, features, and tricks that will help you obtain a deeper understanding of Stata. The book comprises the contributions of the Stata community that have appeared in the Stata Journal since 2003.
Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen Название: Applied Statistics Using Stata ISBN: 1473913233 ISBN-13(EAN): 9781473913233 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Поставка под заказ. Описание: Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.
Автор: Cameron Название: Microeconometrics Using Stata ISBN: 1597180734 ISBN-13(EAN): 9781597180733 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T 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: Suarez, Erick L. Perez, Cynthia M. Nogueras, Graciela M. Moreno-gorrin, Camille Название: Biostatistics in public health using stata ISBN: 1498721990 ISBN-13(EAN): 9781498721998 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiologic studies.
The book shares the authors' insights gathered through decades of collective experience teaching in the academic programs of biostatistics and epidemiology. Maintaining a focus on the application of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases. The book includes coverage of data description, graph construction, significance tests, linear regression models, analysis of variance, categorical data analysis, logistic regression model, poisson regression model, survival analysis, analysis of correlated data, and advanced programming in STATA. Each chapter is based on one or more research problems linked to public health. Additionally, every chapter includes exercise sets for practicing concepts and exercise solutions for self or group study. Several examples are presented that illustrate the applications of the statistical method in the health sciences using epidemiologic study designs. Presenting high-level statistics in an accessible manner across research fields in public health, this book is suitable for use as a textbook for biostatistics and epidemiology courses or for consulting the statistical applications in public health. For readers new to STATA, the first three chapters should be read sequentially, as they form the basis of an introductory course to this software.
Автор: Deb, Partha Norton, Edward C. Manning, Willard G. Название: Health econometrics using stata ISBN: 1597182281 ISBN-13(EAN): 9781597182287 Издательство: Taylor&Francis Рейтинг: Цена: 57150.00 T Наличие на складе: Невозможна поставка. Описание: This book provides an excellent overview of the methods used to analyze data on healthcare expenditure and use. It introduces readers to widely used methods, shows them how to perform these methods in Stata, and illustrates how to interpret the results.
Автор: Daniels, Lisa Minot, Nicholas W. Название: Introduction to statistics and data analysis using stata (r) ISBN: 1506371833 ISBN-13(EAN): 9781506371832 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Поставка под заказ. Описание: Offering a step-by-step introduction to data analysis in Stata, this text uses examples from a variety of disciplines and extensive detail on the commands in stata.
Автор: Thompson John Название: Bayesian Analysis with Stata ISBN: 1597181412 ISBN-13(EAN): 9781597181419 Издательство: Taylor&Francis Рейтинг: Цена: 57150.00 T Наличие на складе: Невозможна поставка. Описание:
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: Baldwin, Scott Название: Psychological Statistics and Psychometrics Using Stata ISBN: 1597183032 ISBN-13(EAN): 9781597183031 Издательство: Taylor&Francis Рейтинг: Цена: 57150.00 T Наличие на складе: Невозможна поставка. Описание: This book also discusses measurement concepts that are crucial in psychometrics. For instance, the author explores how reliability and validity can be understood and evaluated using exploratory and confirmatory factor analysis. The author includes dozens of worked examples using real data to illustrate the theory and concepts.
Автор: Kaufman Robert L. Название: Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata ISBN: 150636537X ISBN-13(EAN): 9781506365374 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.
Автор: Kellstedt Paul M Название: Stata Companion for the Third Edition of The Fundamentals of ISBN: 1108447961 ISBN-13(EAN): 9781108447966 Издательство: Cambridge Academ Рейтинг: Цена: 24280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This workbook teaches students how to use the popular Stata statistical software program to assess causal relationships using real political science data. It parallels the main Kellstedt and Whitten text, which allows students to apply the lessons and techniques they learn in each chapter in a statistical software setting.
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