Categorical data analysis using the SAS system

Discusses hypothesis testing strategies for the assessment of association in contingency tables and sets of contingency tables. Also discusses various modeling strategies available for describing the nature of the association between a categorical outcome measure and a set of explanatory variables

Bibliographic Details
Main Author: Stokes, Maura Ellen
Other Authors: Davis, Charles S., Koch, Gary G.
Format: eBook
Language:English
Published: Cary, NC SAS Institute 2000
Edition:2nd ed
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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100 1 |a Stokes, Maura Ellen 
245 0 0 |a Categorical data analysis using the SAS system  |c Maura E. Stokes, Charles S. Davis, Gary G. Koch 
250 |a 2nd ed 
260 |a Cary, NC  |b SAS Institute  |c 2000 
300 |a viii, 626 pages 
505 0 |a Includes bibliographical references (pages 607-618) and index 
505 0 |a Introduction -- The 2x2 Table -- Sets of 2x2 Tables -- Sets of 2xr and sx2 Tables -- The sxr Table -- Nonparametric Methods -- Logistic Regression I: Dichotomous Response -- Logistic Regression II: Polytomous Response -- Conditional Logistic Regression -- Quantal Bioassay Analysis -- Poisson Regression -- Weighted Least Squares -- Modeling Repeated Measurements Data with WLS -- Generalized Estimating Equations -- Loglinear Models -- Categorized Time-to-Event Data 
653 |a Mathematical statistics / Data processing / fast 
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653 |a Mathematical statistics / Data processing / cct 
653 |a SAS (Computer file) / http://id.loc.gov/authorities/names/n88028236 
653 |a SAS (Computer file) / blmlsh 
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653 |a SAS (Computer file) / fast 
653 |a Mathematical statistics / Data processing / http://id.loc.gov/authorities/subjects/sh85082137 
653 |a Statistique mathématique / Informatique 
653 |a SAS (Computer file) / cct 
700 1 |a Davis, Charles S. 
700 1 |a Koch, Gary G. 
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520 |a Discusses hypothesis testing strategies for the assessment of association in contingency tables and sets of contingency tables. Also discusses various modeling strategies available for describing the nature of the association between a categorical outcome measure and a set of explanatory variables