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
Subsections:
- Failure Time Distribution
- Time and CLASS Variables Usage
- Partial Likelihood Function for the Cox Model
- Counting Process Style of Input
- Left-Truncation of Failure Times
- The Multiplicative Hazards Model
- Proportional Rates/Means Models for Recurrent Events
- The Frailty Model
- Proportional Subdistribution Hazards Model for Competing-Risks Data
- Hazard Ratios
- Newton-Raphson Method
- Firth’s Modification for Maximum Likelihood Estimation
- Robust Sandwich Variance Estimate
- Testing the Global Null Hypothesis
- Type 3 Tests and Joint Tests
- Confidence Limits for a Hazard Ratio
- Using the TEST Statement to Test Linear Hypotheses
- Analysis of Multivariate Failure Time Data
- Model Fit Statistics
- Schemper-Henderson Predictive Measure
- Residuals
- Diagnostics Based on Weighted Residuals
- Influence of Observations on Overall Fit of the Model
- Survivor Function Estimators
- Caution about Using Survival Data with Left Truncation
- Effect Selection Methods
- Assessment of the Proportional Hazards Model
- The Penalized Partial Likelihood Approach for Fitting Frailty Models
- Specifics for Bayesian Analysis
- Computational Resources
- Input and Output Data Sets
- Displayed Output
- ODS Table Names
- ODS Graphics