| |
| |
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 | |