List of Figures

Chapter 42: The LOGISTIC Procedure

Figure 42.1: Binary Logit Model

Figure 42.2: Response Profile with Events/Trials Syntax

Figure 42.3: Fit Statistics and Hypothesis Tests

Figure 42.4: Parameter Estimates and Odds Ratios

Figure 42.5: Association Table

Figure 42.6: Response Profile with Single-Trial Syntax

Figure 42.7: OUTDIST

Figure 42.8: Mean Time and Memory Required

Chapter 43: The MDS Procedure

Figure 43.1: Iteration History from PROC MDS

Figure 43.2: Plot of Estimated Configuration Using the %PLOTIT Macro

Figure 43.1.3: Plot of Configuration for Body Parts Data

Chapter 44: The MI Procedure

Figure 44.1: Model Information

Figure 44.2: Missing Data Patterns

Figure 44.3: Variance Information

Figure 44.4: Parameter Estimates

Figure 44.5: Imputed Data Set

Figure 44.6: Missing Data Patterns

Figure 44.7: Monotone Missing Patterns

Figure 44.8: Non-monotone Missing Patterns

Chapter 45: The MIANALYZE Procedure

Figure 45.1: Parameter Estimates

Figure 45.2: Model Information Table

Figure 45.3: Variance Information Table

Figure 45.4: Multiple Imputation Parameter Estimates

Figure 45.5: Test Specification for test1 and test2

Figure 45.6: Test Specification for test3 and test4

Chapter 46: The MIXED Procedure

Figure 46.1: Model Information

Figure 46.2: Class Level Information

Figure 46.3: Dimensions

Figure 46.4: Number of Observations

Figure 46.5: Covariance Parameter Estimates

Figure 46.6: Fit Statistics

Figure 46.7: Tests of Fixed Effects

Figure 46.8: Model Information

Figure 46.9: Class Levels Information

Figure 46.10: Dimensions and Number of Observations

Figure 46.11: REML Estimation Iteration History

Figure 46.12: Covariance Parameter Estimates (REML)

Figure 46.13: Fit Statistics

Figure 46.14: Type 3 Tests of Fixed Effects

Figure 46.15: Marginal Studentized Residual Panel (Experimental)

Figure 46.16: Conditional Studentized Residual Panel (Experimental)

Figure 46.17: Influence Diagnostics (Experimental)

Figure 46.18: Delete Estimates (Experimental)

Chapter 47: The MODECLUS Procedure

Figure 47.1: Scatter Plot of Data

Figure 47.2: Results from PROC MODECLUS for METHOD=1 and R=10

Figure 47.3: Results from PROC MODECLUS for METHOD=1 and R=15

Figure 47.4: Results from PROC MODECLUS for METHOD=1 and R=35

Figure 47.5: Summary Table

Figure 47.6: Scatter Plots of Cluster Memberships with _R_=10

Figure 47.7: Scatter Plots of Cluster Memberships with _R_=15

Figure 47.8: Scatter Plots of Cluster Memberships with _R_=35

Chapter 48: The MULTTEST Procedure

Figure 48.1: Output Summary for the MULTTEST Procedure

Figure 48.2: Coefficients Used in the MULTTEST Procedure

Figure 48.3: Summary of p-values for the MULTTEST Procedure

Figure 48.4: Output Data for the MULTTEST Procedure

Chapter 49: The NESTED Procedure

Figure 49.1: Output from PROC NESTED

Chapter 50: The NLIN Procedure

Figure 50.1: Nonlinear Least Squares Grid Search from the NLIN Procedure

Figure 50.2: Estimation Summary from the NLIN Procedure

Figure 50.3: Nonlinear Least Squares Summary from the NLIN Procedure

Figure 50.4: Parameter Estimates from the NLIN Procedure

Figure 50.5: Model and Derivative Code Output

Figure 50.6: LISTCODE Output