Some Helpful Resources:
- An Introduction to SAS from STAT 480 - Lesson 1: Getting Started
- Recent Advances in Categorical Data Analysis, by Maura Stokes, the SAS Institute, Cary, NC.
| The Topic / Procedure | Page |
SAS code - text file
|
| Using chisq.test, creates a table of one-way frequencies for observations of a die and then finds calculates a one-way chi-square test | 2.5 | |
| Goodness-of-Fit Test: Cell Probabilities Functions of Unknown Parameters | 2.7 | |
| Binomial Likelihood | log-likelihood function-plot.sas | |
| Basic Poisson Calculations in SAS | 2.3.1 | PoissonCal.sas - PoissonCal.lst |
| Poisson sampling and goodness of fit with one-way table | 2.3.1 | soccer.sas - soccer.lst |
| Binomial test of proportions | 2.3.2 | |
| Some simple binomial calculations | 2.3.2 | SimpleBinomialCal.R |
| Goodness of fit with X2 with G2 | 2.5 | |
| Two-way tables: Measures of associations and effect sizes | 3.1.5 | |
| Test of Independence Choice of scores - midranks |
||
| Test of independence, and measures of associations for an IxJ table | 3.2.3 | |
| Enters tea tasting data and performs one-sided and two-side Fisher's exact test for count data. | 3.3 | |
| McNemar's Test | 4.2.3 | |
| Cohen's Kappa - Measure of Agreement | 4.2.5 | |
| Marginal Odds Ratio | 5.3 | |
| 3 × 2 × 2 Table Two Variables Independent of a Third Conditional Independence |
5.4.1 | |
| 6 × 2 × 2 Table: Tests of indepndence and associations | 5.4.6 | |
| Logistic Regression | 6.2.1 | |
| Logistic Regression | 6.3.1 | |
| Logistic Regression with continuous covariates | 7.1.1 | |
|
CASE STUDY: The Water Level Study Water Level Study 2 (.doc) WaterStudyLogisticRegression.pdf Datafile: water_level.txt |
7.1.1 | |
| Diagnostics for binary logistic regression | 7.2.1 | assay.sas - assay.lst assay1.sas - assay1.lst assay4.sas - assay4.lst |
| Baseline-category logit model | 8.2.1 | alligator.sas - alligator.lst |
| Proportional-odds cumulative logit model | 8.4.1 | cheese.sas - cheese.lst |
| Proportional-odds cumulative logit model | 8.4.2 | abortion.sas - abortion.lst |
|
Poisson Regression Datafile: crab.txt |
9.2 | |
|
Poisson Regression with rate Datafile: creditcard.txt |
9.3 | |
| CASE STUDY: The Ice Cream Study at Penn State | ||
| CASE STUDY: Stress and Smoking Datafile: stress.txt |
stress_smoking.sas - stress_smoking.lst |
|
| Loglinear model: 2 × 2 table | 10.1.2 | VitaminCLoglin.sas - VitaminCLoglin.lst |
| Loglinear model of independence for two-way table | 10.1.3 | vote.sas - vote.lst |
| Loglinear models k-way table | 10.2 | berkeleyLoglin.sas - berkeleyLoglin.lst |
| Loglinear model: model selection and measures of fit | 10.2.9 | collar.sas - collar.lst collarDIndex.sas - collarDIndex.lst |
| Sparse data: sampling and structural zeros | 11.1.1 | ZerosEx.sas - ZerosEx.lst |
| Sparse data: Incomplete table analysis | 11.1.3 | health.sas - health.lst health1.sas - health1.lst health3d.sas - health3d.lst health13d.sas - health13d.lst |
| Ordinal data: Linear by linear association model | 11.2.1 | HeartDiseaseLoglin.sas HeartDiseaseLoglin.lst |
| Dependent data: loglinear models | 11.3.2 | movies.sas - movies.lst |
| Dependent data: quasi-independence loglinear model | 11.3.5 | monkey.sas - monkey.lst |
| Datafile: schiz.dat | 12.2 |
Please Note: For output, we have listed only the .lst files here. You can also get more highly formatted HTML output from SAS which incorporates graphs, if requested. In SAS, follow the menu options 'Tools' > 'Options' > 'Preferences' and under the 'Results' tab check the box for either Listing or HTML output.