List of Outputs


Chapter 31: The GENMOD Procedure

Output 31.1.1: Model Information
Output 31.1.2: Class Variable Levels
Output 31.1.3: Goodness of Fit Criteria
Output 31.1.4: Parameter Estimates
Output 31.2.1: Log Linked Normal Regression
Output 31.2.2: Data Set of Predicted Values and Residuals
Output 31.3.1: Gamma Model of Life Data
Output 31.3.2: Refitting of the Gamma ModelOmitting the mfg Effect
Output 31.4.1: Ordinal Model Information
Output 31.4.2: Parameter Estimates
Output 31.4.3: Type 1 Tests and Odds Ratios
Output 31.5.1: Respiratory Disorder Data
Output 31.5.2: Model Fitting Information
Output 31.5.3: Results of Model Fitting
Output 31.6.1: Results of Model Fitting
Output 31.6.2: Full z-Matrix Data Set
Output 31.7.1: Partial Listing of the Seizure Data
Output 31.7.2: Independence Model
Output 31.7.3: GEE Model Information
Output 31.7.4: GEE Parameter Estimates
Output 31.7.5: Working Correlation Matrix
Output 31.7.6: Covariance Matrices
Output 31.8.1: Surgical Unit Example Data
Output 31.8.2: Regression Model for Linear X1
Output 31.8.3: Cumulative Residual Plot for Linear X1 Fit (Experimental)
Output 31.8.4: Cumulative Residual Panel Plot for Linear X1 Fit (Experimental)
Output 31.8.5: Summary of Model Assessment
Output 31.8.6: Typical Cumulative Residual Patterns
Output 31.8.8: Cumulative Residual Plot With Log(X1)(Experimental)
Output 31.8.7: Multiple Regression Model With Log(X1)
Output 31.9.1: Cumulative Residual Plot for Quadratic Time Fit (Experimental)
Output 31.9.2: Cumulative Residual Plot for Cubic Time Fit (Experimental)

Chapter 32: The GLM Procedure

Output 32.1.1: Classes and Levels for Randomized Complete Blocks
Output 32.1.2: Analysis of Variance for Randomized Complete Blocks
Output 32.1.3: Standard Analysis Again
Output 32.1.4: Contrasts and Solutions
Output 32.1.5: Waller-Duncan tests
Output 32.1.6: Ryan-Einot-Gabriel-Welsch Multiple Range Test
Output 32.2.1: Observations for Standard Regression Analysis
Output 32.2.2: Standard Analysis of Variance for Regression
Output 32.2.3: Results of Requesting the P and CLM Options
Output 32.2.4: Additional Results of Requesting the P and CLM Options
Output 32.2.5: Plot of Mileage Data
Output 32.3.1: Classes and Levels for Unbalanced Two-Way Design
Output 32.3.2: Analysis of Variance for Unbalanced Two-Way Design
Output 32.3.3: LS-Means for Unbalanced ANOVA
Output 32.4.1: Overall Analysis of Variance
Output 32.4.2: Tests and Parameter Estimates
Output 32.4.3: LS-means
Output 32.4.4: LS-means Output Data Set
Output 32.4.5: Analysis of Covariance Plot (Experimental)
Output 32.5.1: Overall Analysis
Output 32.5.2: Individual Effects and Contrasts
Output 32.5.3: Simple Effects of Time
Output 32.5.4: Contents of the OUTSTAT= Data Set
Output 32.6.1: Summary Information on Groups
Output 32.6.2: Univariate Analysis of Variance for Aluminum Oxide
Output 32.6.3: Univariate Analysis of Variance for Iron Oxide
Output 32.6.4: Univariate Analysis of Variance for Calcium Oxide
Output 32.6.5: Univariate Analysis of Variance for Magnesium Oxide
Output 32.6.6: Univariate Analysis of Variance for Sodium Oxide
Output 32.6.7: Error SSCP Matrix and Partial Correlations
Output 32.6.8: Hypothesis SSCP Matrix and Multivariate Tests for Overall Site Effect
Output 32.6.9: Hypothesis SSCP Matrix and Multivariate Tests for Differences Between Llanederyn and the Rest
Output 32.7.1: Summary Information on Groups
Output 32.7.2: Repeated Measures Levels
Output 32.7.3: Multivariate Tests of Within-Subject Effects
Output 32.7.4: Tests of Between-Subject Effects
Output 32.7.5: Sphericity Test
Output 32.7.6: Univariate Tests of Within-Subject Effects
Output 32.7.7: Tests of Between-Subject Effects for Transformed Variables
Output 32.8.1: Summary Information on Groups
Output 32.8.2: Fixed-Effect Model Analysis of Variance
Output 32.8.3: Expected Values of Type III Mean Squares
Output 32.8.4: Mixed Model Analysis of Variance
Output 32.8.5: PROC MIXED Mixed Model Analysis of Variance (Partial Output)
Output 32.9.1: A Doubly-multivariate Repeated Measures Design
Output 32.9.2: Repeated Factor Levels
Output 32.9.3: Within-subject Tests
Output 32.9.4: M Matrix to Test for Time Effect (Repeated Measure)
Output 32.9.5: Tests for Time Effect (Repeated Measure)
Output 32.9.6: Summary Output for the Test for Time Effect
Output 32.10.1: Usual ANOVA Test for Age Group Differences in Mean Olfactory Index
Output 32.10.2: Levenes Test for Age Group Differences in Olfactory Variability
Output 32.10.3: Welchs Test for Age Group Differences in Mean Olfactory Index
Output 32.11.1: Analysis of Variance for Nitride Etch Process Half Fraction
Output 32.11.2: Parameter Estimates and Aliases for Nitride Etch Process Half Fraction
Output 32.11.3: Analysis of Variance for Nitride Etch Process Full Replicate

Chapter 33: The GLMMOD Procedure

Output 33.1.1: A Two-Way Design
Output 33.1.2: The OUTPARM= Data Set
Output 33.1.3: The OUTDESIGN= Data Set
Output 33.2.1: PROC REG Full Model Fit
Output 33.2.2: PROC REG Screening Results

Chapter 34: The GLMPOWER Procedure

Output 34.1.1: Sample Sizes for One-Way ANOVA Contrasts
Output 34.1.2: Plot of Sample Size versus Power for One-Way ANOVA Contrasts
Output 34.1.3: Plot of Power versus Sample Size for One-Way ANOVA Contrasts
Output 34.2.1: Sample Sizes for Two-Way ANOVA Contrasts
Output 34.2.2: Plot of Sample Size versus Power for Two-Way ANOVA Contrasts
Output 34.2.3: Plot of Power versus Sample Size for Two-Way ANOVA Contrasts

Chapter 35: The INBREED Procedure

Output 35.1.1: Monoecious Population Analysis
Output 35.2.1: Pedigree Analysis
Output 35.3.1: Pedigree Analysis with BY Groups

Chapter 36: The KDE Procedure

Output 36.1.1: Histogram with Overlaid Kernel Density Estimate (Experimental)
Output 36.2.1: Histogram with Oversmoothed Kernel Density Estimate (Experimental)
Output 36.2.2: Histogram with Undersmoothed Kernel Density Estimate (Experimental)
Output 36.3.1: Contour Plot of Estimated Density with Additional Smoothing (Experimental)
Output 36.3.2: Contour Plot of Estimated Density with Different Smoothing for x and y (Experimental)
Output 36.5.1: Surface Plot of the Bivariate Kernel Density Estimate
Output 36.5.2: Contour Plot of the Bivariate Kernel Density Estimate
Output 36.5.3: Contour Plot of the Bivariate Kernel Density Estimate with Levels Corresponding to Percentiles
Output 36.6.1: Histogram (Experimental)
Output 36.6.2: Kernel Density Estimate (Experimental)
Output 36.6.3: Histogram with Overlaid Kernel Density Estimate (Experimental)
Output 36.7.1: Scatter Plot (Experimental)
Output 36.7.2: Bivariate Histogram (Experimental)
Output 36.7.3: Contour Plot (Experimental)
Output 36.7.4: Contour Plot with Overlaid Scatter Plot (Experimental)
Output 36.7.5: Surface Plot (Experimental)
Output 36.7.6: Bivariate Histogram with Overlaid Surface Plot (Experimental)

Chapter 37: The KRIGE2D Procedure

Output 37.1.1: Comparison of Gaussian and Spherical Models

Chapter 38: The LATTICE Procedure

Output 38.1.1: Displayed Output from PROC PRINT
Output 38.1.2: Displayed Output from PROC LATTICE

Chapter 39: The LIFEREG Procedure

Output 39.1.1: Motorette Failure Data
Output 39.1.2: Motorette FailureModel A
Output 39.1.3: Motorette FailureModel B
Output 39.1.4: Motorette FailureFitted Models
Output 39.1.5: Motorette FailureQuantile Estimates and Confidence Limits
Output 39.2.1: Parameter Estimates from PROC LIFEREG
Output 39.2.2: Predicted Means from PROC LIFEREG
Output 39.3.1: Contents of the Data Set
Output 39.3.2: Initial Least Squares
Output 39.3.3: Estimates from the Log Logistic Distribution
Output 39.3.4: Final Estimates from the Weibull Distribution
Output 39.4.1: Parameter Estimates for the Interaction Model
Output 39.4.2: Probability Plot for Recovery Time with sex =1,age =50
Output 39.4.3: Probability Plot for Recovery Time with sex =2, age = 60.6
Output 39.5.1: Probability Plot for the Fan Data
Output 39.5.2: CDF Estimates
Output 39.6.1: Iteration History for the Turnbull Estimate
Output 39.6.2: Summary for the Turnbull Algorithm
Output 39.6.3: Final CDF Estimates for Turnbull Algorithm
Output 39.6.4: Lognormal Probability Plot for the Microprocessor Data

Chapter 40: The LIFETEST Procedure

Output 40.1.1: Estimation Results for Cell =adeno
Output 40.1.2: Estimation Results for Cell=large
Output 40.1.3: Estimation Results for Cell=small
Output 40.1.4: Estimation Results for Cell=squamous
Output 40.1.5: Summary of Censored and Uncensored Values
Output 40.1.6: Graph of the Estimated Survivor Functions
Output 40.1.7: Graph of Negative Log of the Estimated Survivor Functions
Output 40.1.8: Graph of Log of the Negative Log of the Estimated Survivor Functions
Output 40.1.9: Homogeneity Tests Across Strata
Output 40.1.10: Log-Rank Test of the Prognostic Factors
Output 40.1.11: Log-Rank Statistics and Covariance Matrix
Output 40.1.12: Best Subset Regression from the REG Procedure
Output 40.2.1: Variables in the Out1 Data Set
Output 40.2.2: Panel Plot for ALL Patients (Experimental)
Output 40.2.3: Product-Limit Estimates of Survival of Bone Marrow Transplant Patients (Experimental)
Output 40.2.4: Hall-Wellner Bands for the Survival of Bone Marrow Transplant Patients (Experimental)
Output 40.3.1: Life-Table Survivor Function Estimate
Output 40.3.2: Summary of Censored and Event Observations
Output 40.3.3: Life-Table Survivor Function Estimate
Output 40.3.4: Negative Log of Survivor Function Estimate
Output 40.3.5: Log of Negative Log of Survivor Function Estimate
Output 40.3.6: Hazard Function Estimate
Output 40.3.7: Density Function Estimate

Chapter 41: The LOESS Procedure

Output 41.1.1: Scatter Plot of Gas Data
Output 41.1.2: Fit Summary Table
Output 41.1.3: Output Statistics Table
Output 41.1.4: Loess Fits with 99% Confidence Bands for Gas Data
Output 41.1.5: Scatter Plots of Loess Fit Residuals
Output 41.1.6: Test ANOVA for LOESS MODELS of Gas Data
Output 41.2.1: Locations of Sulfate Measurements
Output 41.2.2: Scatter Plot of SO4 Data
Output 41.2.3: Scatter Plots of Loess Fit Residuals
Output 41.2.4: LOESS Fit of SO4 Data
Output 41.2.5: Contour Plot of LOESS Fit of SO4 Data
Output 41.3.1: Surface Plot of Experiment Data
Output 41.3.2: Scale Details Table
Output 41.3.3: Fitted Surface Plot for Experiment Data
Output 41.4.1: Scatter Plot of ENSO Data
Output 41.4.2: Output from PROC LOESS
Output 41.4.3: Oversmoothed Loess Fit for the ENSO Data
Output 41.4.4: AICC versus Smoothing Parameter Showing Local Minima
Output 41.4.5: Loess Fit for the ENSO Data
Output 41.5.1: Smoothing Parameter Selection (Experimental)
Output 41.5.2: LOESS Fit of ENSO Data (Experimental)
Output 41.5.3: Residuals by Regressors (Experimental)
Output 41.5.4: Fit Diagnostics Panel (Experimental)
Output 41.5.5: Residual Histogram (Experimental)



SAS.STAT 9.1 Users Guide (Vol. 3)
SAS/STAT 9.1, Users Guide, Volume 3 (volume 3 ONLY)
ISBN: B0042UQTBS
EAN: N/A
Year: 2004
Pages: 105

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