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: 7627 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Kohler Название: Data Analysis Using Stata, Third Edition ISBN: 1597181102 ISBN-13(EAN): 9781597181105 Издательство: Taylor&Francis Рейтинг: Цена: 7000 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive introduction to both statistical methods and Stata, this text helps beginners learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. It also offers tips and tricks for readers already familiar with Stata. Step by step, the book leads readers through the entire process of data analysis, covering the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition also explores advanced topics such as standard errors in complex survey and multiple imputation.
Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen Название: Applied Statistics Using Stata ISBN: 1473913233 ISBN-13(EAN): 9781473913233 Издательство: Sage Publications Рейтинг: Цена: 3720 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assiduously combining theory with plenty of practical, technical advice - and accompanied by original case studies and data sets - this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs.
Автор: Baum, Christopher F.| Название: An Introduction to Stata Programming ISBN: 1597180459 ISBN-13(EAN): 9781597180450 Издательство: Taylor&Francis Рейтинг: Цена: 4701 р. Наличие на складе: Поставка под заказ.
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.
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.
Описание: Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.
Описание: Alan C. Acock’s A Gentle Introduction to Stata, Fifth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able not only to use Stata well but also to learn new aspects of Stata. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book.
Название: Thirty Years With Stata, A Retrospe ISBN: 1597181722 ISBN-13(EAN): 9781597181723 Издательство: Taylor&Francis Рейтинг: Цена: 3552 р. Наличие на складе: Поставка под заказ.
Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variety of statistical functions. Agricultural Statistical Data Analysis Using Stata introduces readers to the use of Stata to solve agricultural statistical problems.
The book begins with an overview of statistical software and the Stata program. It explains the various windows and menus and describes how they are integrated. The next chapters explore data entry and importing as well as basic output formats and descriptive statistics. The author describes the ever-increasing design complexity and how this is implemented in the software. He reviews one of Stata's strongest features, which is its programming ability. He also examines post hoc tests as well as Stata's graphing capabilities. The final chapters provide information on regression analysis, data transformations, and the analyses of non-parametric data.
Many agricultural researchers are unprepared for the statistics they will need to use in their profession. Written in an easy-to-read format with screen shots and illustrations, the book is suitable for a wide audience, including beginners in statistics who are new to Stata, as well as more advanced Stata users and those interested in more complex designs.
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