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An Introduction to Categorical Data Analysis by Alan Agresti

An Introduction to Categorical Data Analysis Alan Agresti ebook
Page: 393
Publisher: Wiley-Interscience
ISBN: 0471226181, 9780471226185
Format: pdf

Protein kinases serve as targets for therapeutic intervention in cancers, which is validated and proved by the successful and broad application of protein kinase inhibitors in multiple cancers, either as single agent or in combination regimens. Praise for the First Edition “This is a superb text from which to teach categorical data analysis, at a variety of levels. Independent t test was used for continuous data analysis, and χ2 test was applied to categorical data. Wiley - Agile Database Techniques-Effective Strategies for the Agile Software (2003).pdf. Data were considered significant when p values were <0.05. Wiley - Administering Data Centers (2006).pdf. Wiley - An Introduction to Categorical Data Analysis (2007).pdf. In Module 1 we look at quantitative research and how we collect data, in order to provide a firm foundation for the analyses covered in later modules. The aims of Module 1 are: To give a broad overview of how research questions might be answered Examples of frequency distributions for categorical data; Missing data and frequency distributions; The use of percentages; The mode; Cumulative frequency; Visualising the frequency distribution (pie charts). This book covers the fundamental aspects of categorical data analysis with an emphasis on how to implement the models used in the book using SAS and SPSS. The use of statistical methods for categorical data is ever increasing in today's world.