Categorical data analysis

A. Agresti, Categorical Data Analysis. Wiley, New York, 1990. 

Obtaining Inferential Statistics from Categorical Data Analysis... 

Categorical Data Analysis Using the SAS0 System, Second Edition... 

Agresti, Alan. (1996). An introduction to categorical data analysis. New York Wiley. 

Smith GD and Eggar M (1997) Letter to the Editor The Lancet, 350, 1182 Stokes ME, Davis CS and Koch GG (1995) Categorical Data Analysis Using the SAS System Cary, NC SAS Institute Inc. 

Weizhen Wang is Associate Professor of Statistics in the Department of Mathematics and Statistics of Wright State University. His interests are in bioequivalence, multiple comparisons, categorical data analysis, quality control, and nonparamet-... 

Agresti A. Categorical Data Analysis. New York Wiley-Interscience 2002. 

Agresti A (2007). An Introduction to Categorical Data Analysis, 2nd edn. Chichester John Wiley Sons. 

Stokes ME, Davis CS, Koch GG (2001). Categorical Data Analysis using the SAS System, 2nd edn. Chichester Wiley Sons. 

Agresti, A. (2002). Categorical Data Analysis. Hoboken, NJ Wiley. 

J.P. van de Geer, Multivariate Analysis of Categorical Data Applications. Sage Publications, Newbury Park, CA, 1993. 

Clean the Data If They Are Needed for Analysis 20 Categorize Data If Necessary 21 Avoid Hardcoding Data 24... 

Categorical Data and Why Zero and Missing Results Differ Greatly 102 Performing Many-to-Many Comparisons/Joins 106 Using Medical Dictionaries 108 Other Tricks and Traps in Data Manipulation 112 Common Analysis Data Sets 118 Critical Variables Data Set 118 Change-from-Baseline Data Set 118 Time-to-Event Data Set 121... 

Duewer DL, Kowalski BR (1975) Forensic data analysis by pattern recognition. Categorization of white bond papers by elemental composition. Anal Chem 47 526... 

As we shall see later the data type to a large extent determines the class of statistical tests that we undertake. Commonly for continuous data we use the t-tests and their extensions analysis of variance and analysis of covariance. For binary, categorical and ordinal data we use the class of chi-square tests (Pearson chi-square for categorical data and the Mantel-Haenszel chi-square for ordinal data) and their extension, logistic regression. 

Quantitative methodology uses large or relatively large samples of subjects (as a rule students) and tests or questionnaires to which the subjects answer. Results are treated by statistical analysis, by means of a variety of parametric methods (when we have continuous data at the interval or at the ratio scale) or nonparametric methods (when we have categorical data at the nominal or at the ordinal scale) (30). Data are usually treated by standard commercial statistical packages. Tests and questionnaires have to satisfy the criteria for content and construct validity (this is analogous to lack of systematic errors in measurement), and for reliability (this controls for random errors) (31). 

L. Haber, J. A. Strickland and D. J. Guth, Categorical Regression Analysis of Toxicity Data, Comments on Toxicology, 7(5-6), 437-452 (2001b). 

Fienberg, S.E. 1985. The Analysis of Cross-Classified Categorical Data. MIT Press, Cambridge, MA. 

Categorical data is becoming increasingly common in population PK/PD analysis, especially ordered categorical data. Examples of such data are adverse events and efficacy measurements such as pain scales (16) or sedation scores (17). This section focuses on graphical methods for categorical type data. 

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