Contents
Chapter 1. Introduction
Chapter 2. The 2 x 2 Table
Chapter 3. Sets of 2 x 2 Tables
Chapter 4. Sets of 2 x r and s x 2 Tables
Chapter 5. The s x r Table
Chapter 6. Sets of s x r Tables
Chapter 7. Nonparametric Methods
Chapter 8. Logistic Regression I: Dochotomous Response
Chapter 9. Logistic Regression II Polytomous Response
Chapter 10. Conditional Logistic Regression
Chapter 11. Quantal Bioassay Analysis
Chapter 12. Poisson Regression
Chapter 13. Weighted Least Square
Chapter 14. Modeling Repeated Measurements Data with WLS
Chapter 15. Generalized Estimating Equations
Chapter 16. Loglinear Models
Chapter 17. Categorized Time-to-Event Data
Chapter 1: Introduction
- Overview
- Scale of Measurement
- Sampling Frameworks
- Overview of Analysis Strategies
- Working with Tables in the SAS System
- Using This Book
Chapter 2: 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
Chapter 3: Sets of 2 x 2 Tables
- Introduction
- Mantel-Haenszel Test
- Measures of Association
Chapter 4: 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
Chapter 5: The s x r Tables
- Introduction
- Association
- Exact Tests for Association
- Measures of Association
- Observer Agreement
- Test for Ordered Differences
Chapter 6: Sets of s x r Tables
- Introduction
- General Mantel-Haenszel Methodology
- Mantel-Haenszel Applications
- Advanced Topic: Application to Repeated Measures
Chapter 7: 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
Chapter 8: 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
- Appendix A: Statistical Methodology for Dichotomous Logistic Regression
Chapter 9: Logistic Regression II: Polytomous Response
- Introduction
- Ordinal Response: Proportional Odds Model
- Nominal Response: Generalized Logits Model
Chapter 10: 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
l:m Conditional Logistic Regression
Exact Conditional Logistic Regression in the Stratified Setting
Appendix A: Theory for the Case-Control Retrospective Setting
Appendix B: Theory for Exact Conditional Inference
Appendix C: ODS Macros
Chapter 11: Quantal Bioassay Analysis
- Introduction
- Estimating Tolerance Distributions
- Comparing Two Drugs
- Analysis of Pain Study
Chapter 12: Poisson Regression
- Introduction
- Methodology for Poisson Regression
- Simple Poisson Counts Example
- Poisson Regression for Incidence Densities
- Overdispersion in Lower Respiratoy Infection Example
Chapter 13: 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
- Appendix A: Statistical Methodology for Weighted Least Squares
Chapter 14: Modeling Repeated Measurements Data with WLS
- Introduction
- Weighted Least Squares
- Advanced Topic: Further Weighted Least Square Applications
Chapter 15: 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 Analysis 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
- Appendix A: Steps to Find the GEE Solution
- Appendix B: Macros for Adjusted Wald Statistic
Chapter 16: Loglinear Models
- Introduction
- Two-Way Contingency Tables
- Three-Way Contingency Tables
- Higher-Order Contingency Tables
- Correspondence Between Logistic Models and Loglinear Models
- Appendix A: Equivalence of the Loglinear and Poisson Regression Models
Chapter 17: Categorized Time-to-Event Data
- Introduction
- Life Table Estimation of Survival Rates
- Mantel-Cox Test
- Piecewise Exponential Models
References
Index