Analysis of longitudinal data, 

Автор: Jos W. R. Twisk
Название: Applied Longitudinal Data Analysis for Epidemiology
ISBN: 0521525802 ISBN-13(EAN): 9780521525800
Издательство: Cambridge Academ
Рейтинг:
Цена: 37520 T
Наличие на складе: Невозможна поставка.
Описание: In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalised estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. It should be stressed that the emphasis of the discussion lies on the interpretation of the different techniques and on the comparison of the results of different techniques. Furthermore, special chapters will deal with the analysis of two measurements, experimental studies and the problem of missing data in longitudinal studies. Finally, an extensive overview of (and a comparison between) different software packages is provided. It is important to realise that this book is a practical guide and especially suitable for non-statisticians.

Автор: Fitzmaurice, Fitzmaurice Garrett M., Laird Nan M.
Название: Applied Longitudinal Analysis
ISBN: 0470380276 ISBN-13(EAN): 9780470380277
Издательство: Wiley
Рейтинг:
Цена: 96660 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research.

Автор: Frees, Edward W.
Название: Longitudinal and panel data
ISBN: 0521535387 ISBN-13(EAN): 9780521535380
Издательство: Cambridge Academ
Рейтинг:
Цена: 39170 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces the subject`s foundations at a level suitable for quantitatively oriented graduate social-science students and individual researchers. It emphasizes mathematical and statistical fundamentals and describes substantive applications from across the social sciences, demonstrating the wide scope of the models. Includes real-world data sets and software programs in SAS and Stata.