The LOGISTIC Procedure
- Overview
- Getting Started
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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
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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
| ODS Graphics |
Statistical procedures use ODS Graphics to create graphs as part of their output. ODS Graphics is described in detail in Chapter 21, Statistical Graphics Using ODS.
Before you create graphs, ODS Graphics must be enabled (for example, with the ODS GRAPHICS ON statement). For more information about enabling and disabling ODS Graphics, see the section Enabling and Disabling ODS Graphics in Chapter 21, Statistical Graphics Using ODS.
The overall appearance of graphs is controlled by ODS styles. Styles and other aspects of using ODS Graphics are discussed in the section A Primer on ODS Statistical Graphics in Chapter 21, Statistical Graphics Using ODS.
You must also specify the options in the PROC LOGISTIC statement that are indicated in Table 53.12.
When ODS Graphics is enabled, then the EFFECT, EFFECTPLOT, ESTIMATE, LSMEANS, LSMESTIMATE, and SLICE statements can produce plots that are associated with their analyses. For information about these plots, see the corresponding sections of Chapter 19, Shared Concepts and Topics.
PROC LOGISTIC assigns a name to each graph it creates using ODS. You can use these names to reference the graphs when using ODS. The names are listed in Table 53.12.
ODS Graph Name |
Plot Description |
Statement or Option |
|
|---|---|---|---|
Panel of dfbetas by case number |
PLOTS=DFBETAS |
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Effect dfbetas by case number |
PLOTS=DFBETAS(UNPACK) |
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Difchisq and/or difdev by predicted probability by CI displacement C |
PLOTS=DPC |
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Predicted probability |
PLOTS=EFFECT |
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Panel of influence statistics by case number |
PLOTS=INFLUENCE |
||
CBarPlot |
CI displacement Cbar by case number |
PLOTS=INFLUENCE(UNPACK) |
|
CPlot |
CI displacement C by case number |
PLOTS=INFLUENCE(UNPACK) |
|
DevianceResidualPlot |
Deviance residual by case number |
PLOTS=INFLUENCE(UNPACK) |
|
DifChisqPlot |
Difchisq by case number |
PLOTS=INFLUENCE(UNPACK) |
|
DifDeviancePlot |
Difdev by case number |
PLOTS=INFLUENCE(UNPACK) |
|
LeveragePlot |
Hat diagonal by case number |
PLOTS=INFLUENCE(UNPACK) |
|
LikelihoodResidualPlot |
Likelihood residual by case number |
PLOTS=INFLUENCE(UNPACK STDRES) |
|
PearsonResidualPlot |
Pearson chi-square residual by case number |
PLOTS=INFLUENCE(UNPACK) |
|
StdDevianceResidualPlot |
Standardized deviance residual by case number |
PLOTS=INFLUENCE(UNPACK STDRES) |
|
StdPearsonResidualPlot |
Standardized Pearson chi-square residual by case number |
PLOTS=INFLUENCE(UNPACK STDRES) |
|
Panel of influence statistics by leverage |
PLOTS=LEVERAGE |
||
LeverageCPlot |
CI displacement C by leverage |
PLOTS=LEVERAGE(UNPACK) |
|
LeverageDifChisqPlot |
Difchisq by leverage |
PLOTS=LEVERAGE(UNPACK) |
|
LeverageDifDevPlot |
Difdev by leverage |
PLOTS=LEVERAGE(UNPACK) |
|
LeveragePhatPlot |
Predicted probability by leverage |
PLOTS=LEVERAGE(UNPACK) |
|
Odds ratios |
PLOTS=ODDSRATIO and |
||
Panel of influence by predicted probability |
PLOTS=PHAT |
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PhatCPlot |
CI displacement C by predicted probability |
PLOTS=PHAT(UNPACK) |
|
PhatDifChisqPlot |
Difchisq by predicted probability |
PLOTS=PHAT(UNPACK) |
|
PhatDifDevPlot |
Difdev by predicted probability |
PLOTS=PHAT(UNPACK) |
|
PhatLeveragePlot |
Leverage by predicted probability |
PLOTS=PHAT(UNPACK) |
|
Receiver operating characteristics curve |
PLOTS=ROC |
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ROC curves for comparisons |
PLOTS=ROC and |
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