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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Stokes, Maura Ellen
Otros Autores: Davis, Charles S. (Charles Shaw), 1952-, Koch, Gary G. (Gary Grove)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, ©2000.
Edición:2nd ed.
Temas:
SAS (Computer file)
Mathematical statistics > Data processing.
Statistique mathématique > Informatique.
MATHEMATICS > Probability & Statistics > General.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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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