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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 | |