The LOGISTIC Procedure
- Overview
- Getting Started
-
Syntax
PROC LOGISTIC Statement BY Statement CLASS Statement CONTRAST Statement EFFECT Statement EFFECTPLOT Statement ESTIMATE Statement EXACT Statement EXACTOPTIONS Statement FREQ Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement ODDSRATIO Statement OUTPUT Statement ROC Statement ROCCONTRAST Statement SCORE Statement SLICE Statement STORE Statement STRATA Statement TEST Statement UNITS Statement WEIGHT Statement -
Details
Missing Values Response Level Ordering 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
-
Examples
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 Using the LSMEANS Statement
- References
Syntax: LOGISTIC Procedure
The following statements are available in PROC LOGISTIC:
- PROC LOGISTIC <options> ;
- BY variables ;
-
CLASS
variable <(options)><variable <(options)>
></ options>
; -
CONTRAST
’label’ effect values<, effect values,></ options>
;
- EFFECT name = effect-type ( variables </ options> ) ;
- EFFECTPLOT <plot-type<(plot-definition-options)>></ options> ;
- ESTIMATE <'label'> estimate-specification </ options> ;
- EXACT <’label’><INTERCEPT><effects></ options> ;
- EXACTOPTIONS options ;
- FREQ variable ;
- LSMEANS <model-effects> </ options> ;
- LSMESTIMATE model-effect lsmestimate-specification </ options> ;
- <label:> MODEL variable <(variable_options)>=<effects></ options> ;
- <label:> MODEL events/trials=<effects></ options> ;
- ODDSRATIO <’label’> variable </ options> ;
-
OUTPUT
<OUT=SAS-data-set><keyword=name <keyword=name>></ option>
;
- ROC <’label’> <specification> </ options> ;
- ROCCONTRAST <’label’><contrast></ options> ;
- SCORE <options> ;
- SLICE model-effect </ options> ;
- STORE <OUT=>item-store-name </ LABEL='label'> ;
- STRATA effects </ options> ;
-
<label:> TEST
equation1 <,equation2,></ option>
;
-
UNITS
<independent1=list1 <independent2=list2 >></ option>
;
- WEIGHT variable </ option> ;
The PROC LOGISTIC and MODEL statements are required. The CLASS and EFFECT statements (if specified) must precede the MODEL statement, and the CONTRAST, EXACT, and ROC statements (if specified) must follow the MODEL statement.
The PROC LOGISTIC, MODEL, and ROCCONTRAST statements can be specified at most once. If a FREQ or WEIGHT statement is specified more than once, the variable specified in the first instance is used. If a BY, OUTPUT, or UNITS statement is specified more than once, the last instance is used.
The rest of this section provides detailed syntax information for each of the preceding statements, beginning with the PROC LOGISTIC statement. The remaining statements are covered in alphabetical order. The EFFECT, EFFECTPLOT, ESTIMATE, LSMEANS, LSMESTIMATE, SLICE, and STORE statements are also available in many other procedures. Summary descriptions of functionality and syntax for these statements are provided, but you can find full documentation on them in the corresponding sections of Chapter 19, Shared Concepts and Topics.