Biomaterial Database

Exploring contingency tables with correspondence analysis. 1989

E B Moser

Department of Experimental Statistics, Louisiana State University Agricultural Center, Baton Rouge 70803.

An algorithm for correspondence analysis is described and implemented in SAS/IML (SAS Institute, 1985a). The technique is shown, through the analysis of several biological examples, to supplement the log-linear models approach to the analysis of contingency tables, both in the model identification and model interpretation stages of analysis. A simple two-way contingency table of tumor data is analyzed using correspondence analysis. This example emphasises the relationships between the parameters of the log-linear model for the table and the graphical correspondence analysis results. The technique is also applied to a three-way table of survey data concerning ulcer patients to demonstrate applications of simple correspondence analysis to higher dimensional tables with fixed margins. Finally, the diets and foraging behaviors of birds of the Hubbard Brook Forest are each analyzed and then a simultaneous display of the two separate but related tables is constructed to highlight relationships between the tables.

UI	MeSH Term	Description	Entries
D011381	Programming Languages	Specific languages used to prepare computer programs.	Language, Programming,Languages, Programming,Programming Language
D003627	Data Interpretation, Statistical	Application of statistical procedures to analyze specific observed or assumed facts from a particular study.	Data Analysis, Statistical,Data Interpretations, Statistical,Interpretation, Statistical Data,Statistical Data Analysis,Statistical Data Interpretation,Analyses, Statistical Data,Analysis, Statistical Data,Data Analyses, Statistical,Interpretations, Statistical Data,Statistical Data Analyses,Statistical Data Interpretations
D000465	Algorithms	A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.	Algorithm
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model