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
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, by specifying 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 can reference every graph produced through ODS Graphics with a name. The names of the graphs that PROC PHREG generates are listed separately in Table 73.17 for the maximum likelihood analysis and in Table 73.18 for the Bayesian analysis. When the ODS Graphics are in effect in a Bayesian analysis, each of the ESTIMATE, LSMEANS, LSMESTIMATE, and SLICE statements can produce plots associated with their analyses. For information of these plots, see the corresponding sections of Chapter 19: Shared Concepts and Topics.
Table 73.17: Graphs for a Maximum Likelihood Analysis Produced by PROC PHREG
|
ODS Graph Name |
Plot Description |
Statement / Option |
|---|---|---|
|
CumhazPlot |
Cumulative hazard function plot |
PROC / PLOTS=CUMHAZ |
|
CumulativeResiduals |
Cumulative martingale residual plot |
ASSESS / VAR= |
|
CumResidPanel |
Panel plot of cumulative martingale residuals |
ASSESS / VAR=, CRPANEL |
|
Mean cumulative function plot |
PROC / PLOTS=MCF |
|
|
ScoreProcess |
Standardized score process plot |
ASSESS / PH |
|
Survivor function plot |
PROC / PLOTS=SURVIVAL |
Table 73.18: Graphs for a Bayesian Analysis Produced by PROC PHREG
|
ODS Graph Name |
Plot Description |
Statement / Option |
|---|---|---|
|
ADPanel |
Autocorrelation function and density panel |
BAYES / PLOTS=(AUTOCORR DENSITY) |
|
AutocorrPanel |
Autocorrelation function panel |
BAYES / PLOTS= AUTOCORR |
|
AutocorrPlot |
Autocorrelation function plot |
BAYES / PLOTS(UNPACK)=AUTOCORR |
|
CumhazPlot |
Cumulative hazard function plot |
PROC / PLOTS=CUMHAZ |
|
DensityPanel |
Density panel |
BAYES / PLOTS=DENSITY |
|
DensityPlot |
Density plot |
BAYES / PLOTS(UNPACK)=DENSITY |
|
SurvivalPlot |
Survivor function plot |
PROC / PLOTS=SURVIVAL |
|
TAPanel |
Trace and autocorrelation function panel |
BAYES / PLOTS=(TRACE AUTOCORR) |
|
TADPanel |
Trace, density, and autocorrelation function panel |
BAYES / PLOTS=(TRACE AUTOCORR DENSITY) |
|
TDPanel |
Trace and density panel |
BAYES / PLOTS=(TRACE DENSITY) |
|
TracePanel |
Trace panel |
BAYES / PLOTS=TRACE |
|
TracePlot |
Trace plot |
BAYES / PLOTS(UNPACK)=TRACE |