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An Introduction to Survival Analysis Using Stata, Revised Third Edition, Cleves



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Цена: 10174р.
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Автор: Cleves
Название:  An Introduction to Survival Analysis Using Stata, Revised Third Edition
ISBN: 9781597181747
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1597181749
Обложка/Формат: Paperback
Страницы: 428
Вес: 0.914 кг.
Дата издания: 09.08.2016
Серия: Mathematics
Язык: English
Издание: 4 revised edition
Размер: 232 x 184 x 28
Читательская аудитория: Professional and scholarly
Ключевые слова: Biology, life sciences, MATHEMATICS / Probability & Statistics / General
Основная тема: Statistics for the Biological Sciences
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Поставляется из: Англии



      Старое издание
Introduction to Survival Analysis Using Stata

Автор: Cleves Mario
Название: Introduction to Survival Analysis Using Stata
ISBN: 1597180742 ISBN-13(EAN): 9781597180740
Издательство: Taylor&Francis
Цена: 6874 р.
Наличие на складе: Поставка под заказ.


Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 10036 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.

Introduction to Survival Analysis Using Stata

Автор: Cleves Mario
Название: Introduction to Survival Analysis Using Stata
ISBN: 1597180742 ISBN-13(EAN): 9781597180740
Издательство: Taylor&Francis
Рейтинг:
Цена: 6874 р.
Наличие на складе: Поставка под заказ.

Agricultural Statistical Data Analysis Using Stata

Автор: Boyhan
Название: Agricultural Statistical Data Analysis Using Stata
ISBN: 1466585854 ISBN-13(EAN): 9781466585850
Издательство: Taylor&Francis
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Цена: 9624 р.
Наличие на складе: Невозможна поставка.

Описание:

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.

A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata

Автор: Kumbhakar
Название: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata
ISBN: 1107609461 ISBN-13(EAN): 9781107609464
Издательство: Cambridge Academ
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Цена: 5614 р.
Наличие на складе: Поставка под заказ.

Описание: A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

An Introduction to Modern Econometrics Using Stata

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
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Цена: 11961 р.
Наличие на складе: Невозможна поставка.

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.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 21313 р.
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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.

Bayesian Analysis with Stata

Автор: Thompson John
Название: Bayesian Analysis with Stata
ISBN: 1597181412 ISBN-13(EAN): 9781597181419
Издательство: Taylor&Francis
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Цена: 7699 р.
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.

An Introduction to Stata Programming

Автор: Baum, Christopher F.|
Название: An Introduction to Stata Programming
ISBN: 1597180459 ISBN-13(EAN): 9781597180450
Издательство: Taylor&Francis
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Цена: 6186 р.
Наличие на складе: Поставка под заказ.

Описание:

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: Yaffee, Robert|
Название: An Introduction to Forecasting Time Series Using Stata
ISBN: 1597180157 ISBN-13(EAN): 9781597180153
Издательство: Taylor&Francis
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Цена: 7424 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.

Using Stata for Quantitative Analysis

Автор: Longest Kyle C
Название: Using Stata for Quantitative Analysis
ISBN: 1483356639 ISBN-13(EAN): 9781483356631
Издательство: Sage Publications
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Цена: 5751 р.
Наличие на складе: Поставка под заказ.

Описание: Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioural, and health sciences since these fields share a relatively similar approach to quantitative analysis.  In this book, the author teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. Ancillaries Student online study site provides data so readers can follow along with chapter examples and complete end-of-chapter exercises.

An Introduction to Stata for Health Researchers, Fourth Edition

Автор: Svend Juul, Morten Frydenberg
Название: An Introduction to Stata for Health Researchers, Fourth Edition
ISBN: 1597181358 ISBN-13(EAN): 9781597181358
Издательство: Taylor&Francis
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Цена: 10449 р.
Наличие на складе: Невозможна поставка.

Описание: An Introduction to Stata for Health Researchers, Fourth Edition methodically covers data management, simple description and analysis, and more advanced analyses often used in health research, including regression models, survival analysis, and evaluation of diagnostic methods. A chapter on graphics explores most graph types and describes how to modify the appearance of a graph before submitting it for publication. The authors emphasize the importance of good documentation habits to prevent errors and wasted time. Demonstrating the use of strategies and tools for documentation, they provide robust examples and offer the datasets for download online. Updated to correspond to Stata 13, this fourth edition is written for both Windows and Mac users. It provides improved online documentation, including further reading in online manuals.

Introduction to Stata Programming, Second Edition

Автор: Baum Christopher F.
Название: Introduction to Stata Programming, Second Edition
ISBN: 1597181501 ISBN-13(EAN): 9781597181501
Издательство: Taylor&Francis
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Цена: 10449 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

In this second edition of An Introduction to Stata Programming, the author introduces concepts by providing the background and importance for the topic, presents common uses and examples, then concludes with larger, more applied examples referred to as "cookbook recipes." This is a great reference for anyone who wants to learn Stata programming. For those learning, the author assumes familiarity with Stata and gradually introduces more advanced programming tools. For the more advanced Stata programmer, the book introduces Stata's Mata programming language and optimization routines.


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