Applied Categorical Data Analysis / Edition 1

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Overview

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.

"...provides a better understanding of various procedures and relationships among different methods and is very application-oriented...introduces new areas such as Mantel & Haenszel method, Kappa statistic, & ordinal risks."

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Editorial Reviews

Booknews
This textbook for graduate students in applied fields covers major, updated methods in the analysis of categorical data, and can also be used as a reference by professionals. Presents real-life examples from biomedicine, epidemiology, and public health; provides end-of- chapter exercise sets and solutions; and incorporates samples of computer programs. Coverage includes two-way contingency tables, loglinear models, logistic regression models, methods for matched data, methods for count data, and transition from categorical to survival data. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780471240600
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 9/9/1998
  • Series: Wiley Series in Probability and Statistics Series , #341
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 312
  • Product dimensions: 9.00 (w) x 6.00 (h) x 0.70 (d)

Meet the Author

CHAP T. LE, PhD, is Professor and Director of Biostatistics at the University of Minnesota's Cancer Center at Otitis Media Research Center. Dr. Le's many works on biostatistics include Health and Numbers, coauthored with James R. Boen, and Applied Survival Analysis (both available from Wiley).
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Table of Contents

Two-way Contingency Tables.

Loglinear Models.

Logistic Regression Models.

Methods for Matched Data.

Methods for Count Data.

Transition from Categorical to Survival Data.

Bibliography.

Index.

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