Categorical Data Analysis Using the SAS System, Second Edition

Name: Categorical Data Analysis Using the SAS System, Second Edition
Price: 5.44 USD
Availability: InStock
ISBN: 9781580257107

ISBN-10: 1580257100

ISBN-13: 9781580257107

Edition: 2nd 2000

Authors: Maura E. Stokes, Charles S. Davis, Gary G. Koch

List price: $72.95

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Book details

List price: $72.95
Edition: 2nd
Copyright year: 2000
Publisher: SAS Institute
Publication date: 6/1/2000
Binding: Hardcover
Pages: 648
Size: 8.50" wide x 11.00" long x 1.25" tall
Weight: 2.596
Language: English



Preface to the Second Edition


Acknowledgments



Introduction



Overview



Scale of Measurement



Sampling Frameworks



Overview of Analysis Strategies



Working with Tables in the SAS System



Using This Book



The 2 x 2 Table



Introduction



Chi-Square Statistics



Exact Tests



Difference in Proportions



Odds Ratio and Relative Risk



Sensitivity and Specificity



McNemar's Test



Sets of 2 x 2 Tables



Introduction



Mantel-Haenszel Test



Measures of Association



Sets of 2 x r and s x 2 Tables



Introduction



Sets of 2 x r Tables



Sets of s x 2 Tables



Relationships Between Sets of Tables



The s x r Table



Introduction



Association



Exact Tests for Association



Measures of Association



Observer Agreement



Test for Ordered Differences



Sets of s x r Tables



Introduction



General Mantel-Haenszel Methodology



Mantel-Haenszel Applications



Advanced Topic: Application to Repeated Measures



Nonparametric Methods



Introduction



Wilcoxon-Mann-Whitney Test



Kruskal-Wallis Test



Friedman's Chi-Square Test



Aligned Ranks Test for Randomized Complete Blocks



Durbin's Test for Balanced Incomplete Blocks



Rank Analysis of Covariance



Logistic Regression I: Dichotomous Response



Introduction



Dichotomous Explanatory Variables



Using the CLASS Statement



Qualitative Explanatory Variables



Continuous and Ordinal Explanatory Variables



A Note on Diagnostics



Maximum Likelihood Estimation Problems and Alternatives



Exact Methods in Logistic Regression



Using the CATMOD and GENMOD Procedures for Logistic Regression



Statistical Methodology for Dichotomous Logistic Regression



Logistic Regression II: Polytomous Response



Introduction



Ordinal Response: Proportional Odds Model



Nominal Response: Generalized Logits Model



Conditional Logistic Regression



Introduction



Paired Observations from a Highly Stratified Cohort Study



Clinical Trials Study Analysis



Crossover Design Studies



General Conditional Logistic Regression



Paired Observations in a Retrospective Matched Study



1:m Conditional Logistic Regression



Exact Conditional Logistic Regression in the Stratified Setting



Theory for the Case-Control Retrospective Setting



Theory for Exact Conditional Inference



ODS Macro



Quantal Bioassay Analysis



Introduction



Estimating Tolerance Distributions



Comparing Two Drugs



Analysis of Pain Study



Poisson Regression



Introduction



Methodology for Poisson Regression



Simple Poisson Counts Example



Poisson Regression for Incidence Densities



Overdispersion in Lower Respiratory Infection Example



Weighted Least Squares



Introduction



Weighted Least Squares Methodology



Using PROC CATMOD for Weighted Least Squares Analysis



Analysis of Means: Performing Contrast Tests



Analysis of Proportions: Occupational Data



Obstetrical Pain Data: Advanced Modeling of Means



Analysis of Survey Sample Data



Modeling Rank Measures of Association Statistics



Statistical Methodology for Weighted Least Squares



Modeling Repeated Measurements Data with WLS



Introduction



Weighted Least Squares



Advanced Topic: Further Weighted Least Squares Applications



Generalized Estimating Equations



Introduction



Methodology



Summary of the GEE Methodology



Passive Smoking Example



Crossover Example



Respiratory Data



Using a Modified Wald Statistic to Assess Model Effects



Diagnostic Data



Using GEE for Count Data



Fitting the Proportional Odds Model



GEE Analyses for Data with Missing Values



Alternating Logistic Regression



Using GEE to Fit a Partial Proportional Odds Model: Univariate Outcome



Using GEE to Account for Overdispersion: Univariate Outcome



Steps to Find the GEE Solution



Macro for Adjusted Wald Statistic



Loglinear Models



Introduction



Two-Way Contingency Tables



Three-Way Contingency Tables



Higher-Order Contingency Tables



Correspondence Between Logistic Models and Loglinear Models



Equivalence of the Loglinear and Poisson Regression Models



Categorized Time-to-Event Data



Introduction



Life Table Estimation of Survival Rates



Mantel-Cox Test



Piecewise Exponential Models


References


Index