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Confirmatory Factor Analysis for Applied Research, Second Edition, Brown, Timothy A.,



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Автор: Brown, Timothy A.,
Название:  Confirmatory Factor Analysis for Applied Research, Second Edition
Перевод названия: Тимоти Браун: Подтверждающий факторный анализ для прикладных исследований
ISBN: 9781462515363
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1462515363
Обложка/Формат: Paperback
Страницы: 462
Вес: 0.86 кг.
Дата издания: 29.01.2015
Серия: Methodology in the social sciences
Язык: English
Издание: 2 revised edition
Размер: 255 x 178 x 21
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Psychological methodology, PSYCHOLOGY / General,PSYCHOLOGY / Statistics
Рейтинг:
Поставляется из: Англии



      Старое издание

Applied Survey Data Analysis, Second Edition

Автор: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
Рейтинг:
Цена: 13611 р.
Наличие на складе: Ожидается поступление.

Описание:

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software.

Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book's updated Web site.

Applied Logistic Regression Analysis: Second Edition

Автор: Menard S
Название: Applied Logistic Regression Analysis: Second Edition
ISBN: 0761922083 ISBN-13(EAN): 9780761922087
Издательство: Sage Publications
Рейтинг:
Цена: 4156 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data Updated coverage of unordered and ordered polytomous logistic regression models.

Group Sequential and Confirmatory Adaptive Designs in Clinical Trials

Автор: Wassmer
Название: Group Sequential and Confirmatory Adaptive Designs in Clinical Trials
ISBN: 3319325604 ISBN-13(EAN): 9783319325606
Издательство: Springer
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Цена: 17819 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides an up-to-date review of the general principles of and techniques for confirmatory adaptive designs. Confirmatory adaptive designs are a generalization of group sequential designs. With these designs, interim analyses are performed in order to stop the trial prematurely under control of the Type I error rate. In adaptive designs, it is also permissible to perform a data-driven change of relevant aspects of the study design at interim stages. This includes, for example, a sample-size reassessment, a treatment-arm selection or a selection of a pre-specified sub-population. Essentially, this adaptive methodology was introduced in the 1990s. Since then, it has become popular and the object of intense discussion and still represents a rapidly growing field of statistical research. This book describes adaptive design methodology at an elementary level, while also considering designing and planning issues as well as methods for analyzing an adaptively planned trial. This includes estimation methods and methods for the determination of an overall p-value. Part I of the book provides the group sequential methods that are necessary for understanding and applying the adaptive design methodology supplied in Parts II and III of the book. The book contains many examples that illustrate use of the methods for practical application.The book is primarily written for applied statisticians from academia and industry who are interested in confirmatory adaptive designs. It is assumed that readers are familiar with the basic principles of descriptive statistics, parameter estimation and statistical testing. This book will also be suitable for an advanced statistical course for applied statisticians or clinicians with a sound statistical background.


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