Applied Categorical Data Analysis

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  • 9780471240600
  • 23 september 1998
  • 312 pagina's
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The nonstatistician's quick reference to applied categorical data analysis

With a succinct, unified approach to applied categorical data analysis and an emphasis on applications, this book is immensely useful to researchers and students in the biomedical disciplines and to anyone concerned with statistical analysis. This self-contained volume provides up-to-date coverage of all major methodologies in this area of applied statistics and acquaints the reader with statistical thinking as expressed through a variety of modern-day topics and techniques. Applied Categorical Data Analysis introduces a number of new research areas, including the Mantel-Haenszel method, Kappa statistics, ordinal risks, odds ratio estimates, goodness-of-fit, and various regression models for categorical data.

Chap T. Le, author of Health and Numbers and Applied Survival Analysis, presents his information in a user-friendly format and an accessible style while purposefully keeping the mathematics to a level appropriate for students in applied fields. Well supplemented with helpful graphs and tables, Applied Categorical Data Analysis:
* Covers both basic and advanced topics
* Employs many real-life examples from biomedicine, epidemiology, and public health
* Presents case studies in meticulous detail
* Provides end-of-chapter exercise sets and solutions
* Incorporates samples of computer programs (most notably in SAS).

Applied Categorical Data Analysis is an important resource for graduate students and professionals who need a compact reference and guide to both the fundamentals and applications of the major methods in the field.

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Oorspronkelijke releasedatum
23 september 1998
Aantal pagina's
312

Betrokkenen

Hoofdauteur
Chap T. Le
Tweede Auteur
Poidevin Rob Le
Hoofduitgeverij
Wiley Blackwell

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Verpakking breedte
154 mm
Verpakking hoogte
19 mm
Verpakking lengte
230 mm
Verpakkingsgewicht
474 g

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EAN
9780471240600

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