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
LSMESTIMATE Statement
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LSMESTIMATE model-effect <'label'> values <divisor=n> <, <'label'> values <divisor=n>> <, …></ options>;
The LSMESTIMATE statement provides a mechanism for obtaining custom hypothesis tests among least squares means.
Table 85.9 summarizes the options available in the LSMESTIMATE statement. If the BAYES statement is specified, the ADJUST=, STEPDOWN, TESTVALUE, LOWER, UPPER, and JOINT options are ignored. The PLOTS= option is not available for the maximum likelihood analysis. It is available only for the Bayesian analysis.
Table 85.9: LSMESTIMATE Statement Options
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Option |
Description |
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Construction and Computation of LS-Means |
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Modifies covariate values in computing LS-means |
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Computes separate margins |
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Specifies a list of values to divide the coefficients |
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Specifies the weighting scheme for LS-means computation as determined by a data set |
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Tunes estimability checking |
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Degrees of Freedom and p-values |
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Determines the method for multiple-comparison adjustment of LS-means differences |
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Determines the confidence level ( |
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Performs one-sided, lower-tailed inference |
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Adjusts multiple-comparison p-values further in a step-down fashion |
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Specifies values under the null hypothesis for tests |
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Performs one-sided, upper-tailed inference |
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Statistical Output |
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Constructs confidence limits for means and mean differences |
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Displays the correlation matrix of LS-means |
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Displays the covariance matrix of LS-means |
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Prints the |
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Prints the |
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Produces a joint F or chi-square test for the LS-means and LS-means differences |
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Requests graphs of means and mean comparisons |
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Specifies the seed for computations that depend on random numbers |
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Generalized Linear Modeling |
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Specifies how to construct estimable functions with multinomial data |
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Exponentiates and displays LS-means estimates |
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Computes and displays estimates and standard errors of LS-means (but not differences) on the inverse linked scale |
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For details about the syntax of the LSMESTIMATE statement, see the section LSMESTIMATE Statement in Chapter 19: Shared Concepts and Topics.