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
Call Number:Libro Electrónico
Main Author: Stokes, Maura Ellen
Other Authors: Davis, Charles S. (Charles Shaw), 1952-, Koch, Gary G. (Gary Grove)
Format: Electronic eBook
Language:Inglés
Published: Cary, NC : SAS Institute, ©2000.
Edition:2nd ed.
Subjects:
SAS (Computer file)
Mathematical statistics > Data processing.
Statistique mathématique > Informatique.
MATHEMATICS > Probability & Statistics > General.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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.

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