The PHREG Procedure
- Overview
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Getting Started
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SyntaxPROC PHREG StatementASSESS StatementBASELINE StatementBAYES StatementBY StatementCLASS StatementCONTRAST StatementEFFECT StatementESTIMATE StatementFREQ StatementHAZARDRATIO StatementID StatementLSMEANS StatementLSMESTIMATE StatementMODEL StatementOUTPUT StatementProgramming StatementsRANDOM StatementSTRATA StatementSLICE StatementSTORE StatementTEST StatementWEIGHT Statement
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DetailsFailure Time DistributionTime and CLASS Variables UsagePartial Likelihood Function for the Cox ModelCounting Process Style of InputLeft-Truncation of Failure TimesThe Multiplicative Hazards ModelProportional Rates/Means Models for Recurrent EventsThe Frailty ModelProportional Subdistribution Hazards Model for Competing-Risks DataHazard RatiosNewton-Raphson MethodFirth’s Modification for Maximum Likelihood EstimationRobust Sandwich Variance EstimateTesting the Global Null HypothesisType 3 Tests and Joint TestsConfidence Limits for a Hazard RatioUsing the TEST Statement to Test Linear HypothesesAnalysis of Multivariate Failure Time DataModel Fit StatisticsSchemper-Henderson Predictive MeasureResidualsDiagnostics Based on Weighted ResidualsInfluence of Observations on Overall Fit of the ModelSurvivor Function EstimatorsCaution about Using Survival Data with Left TruncationEffect Selection MethodsAssessment of the Proportional Hazards ModelThe Penalized Partial Likelihood Approach for Fitting Frailty ModelsSpecifics for Bayesian AnalysisComputational ResourcesInput and Output Data SetsDisplayed OutputODS Table NamesODS Graphics
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ExamplesStepwise RegressionBest Subset SelectionModeling with Categorical PredictorsFirth’s Correction for Monotone LikelihoodConditional Logistic Regression for m:n MatchingModel Using Time-Dependent Explanatory VariablesTime-Dependent Repeated Measurements of a CovariateSurvival CurvesAnalysis of ResidualsAnalysis of Recurrent Events DataAnalysis of Clustered DataModel Assessment Using Cumulative Sums of Martingale ResidualsBayesian Analysis of the Cox ModelBayesian Analysis of Piecewise Exponential ModelAnalysis of Competing-Risks Data
- References
The following statements are available in the PHREG procedure. Items within < > are optional.
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PROC PHREG <options>;
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ASSESS keyword </ options>;
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BASELINE <OUT=SAS-data-set> <COVARIATES=SAS-data-set>
<keyword=name …keyword=name> </ options>; -
BAYES <options>;
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BY variables;
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CLASS variable <(options)> <…variable <(options)>> </ options>;
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CONTRAST <'label'> effect values <, …, effect values> </ options>;
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FREQ variable;
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EFFECT name = effect-type (variables </ options>);
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ESTIMATE <'label'> estimate-specification </ options>;
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HAZARDRATIO <'label'> variable </ options>;
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ID variables;
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LSMEANS <model-effects> </ options>;
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LSMESTIMATE model-effect lsmestimate-specification </ options>;
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MODEL response <*censor(list)> = <effects> </ options>;
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OUTPUT <OUT=SAS-data-set> <keyword=name …keyword=name> </ options>;
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RANDOM variable </ options>;
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SLICE model-effect </ options>;
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STORE <OUT=> item-store-name </ LABEL='label'>;
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STRATA variable <(list)> <…variable <(list)>> </ option>;
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<label:> TEST equation <, …, equation> </ options>;
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WEIGHT variable </ option>;
The PROC PHREG and MODEL statements are required. The CLASS statement, if present, must precede the MODEL statement, and the ASSESS or CONTRAST statement, if present, must come after the MODEL statement. The BAYES statement, that invokes a Bayesian analysis, is not compatible with the ASSESS, CONTRAST, ID, OUTPUT, and TEST statements, as well as a number of options in the PROC PHREG and MODEL statements. See the section Specifics for Bayesian Analysis for details.
The rest of this section provides detailed syntax information for each statement, beginning with the PROC PHREG statement. The remaining statements are covered in alphabetical order.