Applied Meta-Analysis with R and Stata, Ding-Geng (Din) Chen, Karl E. Peace

Автор: Schwarzer, Guido Carpenter, James R. Rucker, Gerta
Название: Meta-analysis with r
ISBN: 3319214152 ISBN-13(EAN): 9783319214153
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. multivariate meta-analysis, network meta-analysis;

Автор: Arthur, Jr.
Название: Conducting Meta-Analysis Using SAS
ISBN: 0805838090 ISBN-13(EAN): 9780805838091
Издательство: Taylor&Francis
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Цена: 40820.00 T
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Описание: Designed to teach the reader about meta-analysis and show them how to conduct one using SAS. Its focus is more applied and practical than theoretical and will include additional programming codes and examples. Web site to house program code and sample ou

Автор: Tom M. Palmer and Jonathan A. C. Sterne (editors)
Название: Meta-Analysis in Stata
ISBN: 1597181471 ISBN-13(EAN): 9781597181471
Издательство: Taylor&Francis
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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
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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: Cleff Thomas
Название: Applied Statistics and Multivariate Data Analysis for Business and Economics: A Modern Approach Using Spss, Stata, and Excel
ISBN: 3030177696 ISBN-13(EAN): 9783030177690
Издательство: Springer
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Цена: 60550.00 T
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Описание: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.

Автор: Cameron
Название: Microeconometrics Using Stata
ISBN: 1597180734 ISBN-13(EAN): 9781597180733
Издательство: Taylor&Francis
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Цена: 83690.00 T
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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: Das Panchanan
Название: Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1
ISBN: 9813290188 ISBN-13(EAN): 9789813290181
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software.The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.

Автор: Kothari Prasad
Название: Data Analysis with STATA
ISBN: 178217317X ISBN-13(EAN): 9781782173175
Издательство: Неизвестно
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Цена: 47810.00 T
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Автор: Kyle C. Longest
Название: Using Stata for Quantitative Analysis
ISBN: 1544318529 ISBN-13(EAN): 9781544318523
Издательство: Sage Publications
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Цена: 63360.00 T
Наличие на складе: Невозможна поставка.
Описание: Proposing to teach the language of stata from an intuitive perspective, furthering students` overall retention, the third edition has been thoroughly updated for STATA 15, with an appendices for users working with STATA 13 and 14.

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
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Цена: 120390.00 T
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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: Stockemer Daniel
Название: Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata
ISBN: 3319991175 ISBN-13(EAN): 9783319991177
Издательство: Springer
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Цена: 65210.00 T
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Описание: In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey.

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
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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.