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| The LOGISTIC Procedure |
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- Overview: LOGISTIC Procedure
- Getting Started: LOGISTIC Procedure
- Syntax: LOGISTIC Procedure
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Details: LOGISTIC Procedure
- Missing Values
- Response Level Ordering
- CLASS Variable Parameterization
- Link Functions and the Corresponding Distributions
- Determining Observations for Likelihood Contributions
- Iterative Algorithms for Model Fitting
- Convergence Criteria
- Existence of Maximum Likelihood Estimates
- Effect-Selection Methods
- Model Fitting Information
- Generalized Coefficient of Determination
- Score Statistics and Tests
- Confidence Intervals for Parameters
- Odds Ratio Estimation
- Rank Correlation of Observed Responses and Predicted Probabilities
- Linear Predictor, Predicted Probability, and Confidence Limits
- Classification Table
- Overdispersion
- The Hosmer-Lemeshow Goodness-of-Fit Test
- Receiver Operating Characteristic Curves
- Testing Linear Hypotheses about the Regression Coefficients
- Regression Diagnostics
- Scoring Data Sets
- Conditional Logistic Regression
- Exact Conditional Logistic Regression
- Input and Output Data Sets
- Computational Resources
- Displayed Output
- ODS Table Names
- ODS Graphics
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Examples: LOGISTIC Procedure
- Stepwise Logistic Regression and Predicted Values
- Logistic Modeling with Categorical Predictors
- Ordinal Logistic Regression
- Nominal Response Data: Generalized Logits Model
- Stratified Sampling
- Logistic Regression Diagnostics
- ROC Curve, Customized Odds Ratios, Goodness-of-Fit Statistics, R-Square, and Confidence Limits
- Comparing Receiver Operating Characteristic Curves
- Goodness-of-Fit Tests and Subpopulations
- Overdispersion
- Conditional Logistic Regression for Matched Pairs Data
- Firth’s Penalized Likelihood Compared with Other Approaches
- Complementary Log-Log Model for Infection Rates
- Complementary Log-Log Model for Interval-Censored Survival Times
- Scoring Data Sets with the SCORE Statement
- References
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