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| Applied Statistics and Sas Software | |
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| A SAS Tutorial | |
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| Introduction | |
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| Computing with SAS Software: An Illustrative Example | |
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| Enhancing the Program | |
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| SAS Procedures | |
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| Overview of the SAS Data Step | |
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| Syntax of SAS Procedures | |
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| Comment Statements | |
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| References | |
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| Describing Data | |
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| Introduction | |
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| Describing Data | |
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| More Descriptive Statistics | |
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| Descriptive Statistics Broken Down by Subgroups | |
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| Frequency Distributions | |
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| Bar Graphs | |
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| Plotting Data | |
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| Creating Summary Data Sets with PROC MEANS an PROC UNIVARIATE | |
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| Outputting Statistics Other than Means | |
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| Creating a Summary Data Set to Contain a Median | |
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| Analyzing Categorical Data | |
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| Introduction | |
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| Questionnaire Design and Analysis | |
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| Adding Variable Labels | |
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| Adding Value Labels (Formats) | |
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| Recoding Data | |
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| Using a Format to Recode a Variable | |
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| Two-way Frequency Tables | |
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| A Shortcut Way of Requesting Multiple Tables | |
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| Computing Chi-square From Frequency Counts | |
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| A Useful Program for Multiple Chi-square Tables | |
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| McNemar's Test for Paired Data | |
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| Odds Ratios | |
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| Relative Risk | |
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| Chi-square Test for Trend | |
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| Mantel-Haenszel Chi-square for Stratified Tables and Meta Analysis | |
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| Check all that Apply Questions | |
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| Working with Date and Longitudinal Data | |
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| Introduction Processing Date Variables | |
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| Longitudinal Data | |
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| Most Recent (or Last) Visit per Patient | |
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| Computing Frequencies on Longitudinal Data Sets | |
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| Correlation and Regression | |
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| Introduction | |
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| Correlation | |
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| Significance of a Correlation Coefficient | |
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| How to Interpret a Correlation Coefficient | |
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| Partial Correlations | |
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| Linear Regression | |
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| Partitioning the Total Sum of Squares | |
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| Plotting the Points on the Regression Line | |
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| Plotting Residuals and Confidence Limits | |
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| Adding a Quadratic Term to the Regression Equation | |
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| Transforming Data | |
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| Computing Within-subject Slopes | |
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| T-Tests and Nonparametric Comparisons | |
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| Introduction | |
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| T-Test: Testing Differences Between Two Means | |
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| Random Assignment of Subjects | |
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| Two Independent Samples: Distribution Free Tests | |
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| One-Tailed versus Two-Tailed Tests | |
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| Paired T-Tests (Related Samples) | |
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| Analysis of Variance | |
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| Introduction | |
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| One-Way Analysis of Variance | |
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| Computing Contrasts | |
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| Analysis of Variance: Two Independent Variables | |
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| Interpreting Significant Interactions | |
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| N-Way Factorial Designs | |
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| Unbalanced Designs: PROC GLM. Analysis of Covariance | |
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| Repeated Measures Designs | |
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| Introduction | |
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| One-Factor Experiments | |
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| Using the REPEATED Statement of PROC ANOVA | |
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| Two-Factor Experiments with a Repeated Measure on One Factor | |
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| Two-Factor Experiments with Repeated Measures on Both Factors | |
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| Three-Factor Experiments with a Repeated Measure on the Last Factor | |
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| Three-Factor Experiments with Repeated Measures on Two Factors | |
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| Multiple Regression Analysis | |
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| Introduction | |
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| Designed Regression | |
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| Nonexperimental Regression | |
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| Stepwise Regressions | |
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| Creating and Using Dummy Variables | |
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| Logistic Regression | |
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| Factor Analysis | |
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| Introduction | |
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| Types of Factor Analysis | |
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| Principle Components Analysis | |
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| Oblique Rotations | |
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| Using Communalities Other than One | |
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| How to Reverse Item Scores | |
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| Psychometrics | |
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| Introduction | |
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| Using SAS Software to Score a Test | |
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| Generalizing the Program for a Variable Number of Questions | |
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| Creating a Better Looking Table Using PROC TABULATE | |
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| A Complete Test Scoring and Item Analysis Program | |
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| Test Reliability | |
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| Interrater Reliability | |
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| SAS Programming | |
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| The SAS INPUT Statement | |
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| Introduction | |
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| List Directed Input: Data Values Separated By Spaces | |
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| Reading Comma Delimited Data | |
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| Using INFORMATS with List Directed Data | |
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| Column Input | |
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| Pointers and Informats | |
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| Reading More than One Line per Subject | |
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| Changing the Order and Reading a Column More Than Once | |
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| Informat Lists | |
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| Holding the Line - Single and Double Trailing @'s | |
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| Suppressing the Error Messages for Invalid Data | |
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| Reading U | |