The PHREG Procedure
- Overview
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Getting Started
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Syntax
PROC PHREG Statement ASSESS Statement BASELINE Statement BAYES Statement BY Statement CLASS Statement CONTRAST Statement EFFECT Statement ESTIMATE Statement FREQ Statement HAZARDRATIO Statement ID Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement OUTPUT Statement Programming Statements RANDOM Statement STRATA Statement SLICE Statement STORE Statement TEST Statement WEIGHT Statement
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Details
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 The Frailty Model Hazard Ratios Specifics for Classical Analysis Specifics for Bayesian Analysis Computational Resources Input and Output Data Sets Displayed Output ODS Table Names ODS Graphics
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Examples
Stepwise Regression Best Subset Selection Modeling with Categorical Predictors Firth’s Correction for Monotone Likelihood Conditional Logistic Regression for m:n Matching Model Using Time-Dependent Explanatory Variables Time-Dependent Repeated Measurements of a Covariate Survivor Function Estimates for Specific Covariate Values Analysis of Residuals Analysis of Recurrent Events Data Analysis of Clustered Data Model Assessment Using Cumulative Sums of Martingale Residuals Bayesian Analysis of the Cox Model Bayesian Analysis of Piecewise Exponential Model
- References
| LSMESTIMATE Statement |
- LSMESTIMATE model-effect <'label'> values <divisor=
>
<, <'label'> values <divisor=>> <, ...>
< / options> ;
The LSMESTIMATE statement provides a mechanism for obtaining custom hypothesis tests among least squares means.
Table 66.6 summarizes important options 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 anaysis. It is available only for the Bayesian analysis.
Option |
Description |
|---|---|
Construction and Computation of LS-Means |
|
Modifies covariate values in computing LS-means |
|
Computes separate margins |
|
Specifies a list of values to divide the coefficients |
|
Specifies the weighting scheme for LS-means computation as determined by a data set |
|
Tunes estimability checking |
|
Degrees of Freedom and p-values |
|
Determines the method for multiple comparison adjustment of LS-means differences |
|
Determines the confidence level ( |
|
Performs one-sided, lower-tailed inference |
|
Adjusts multiple comparison p-values further in a step-down fashion |
|
Specifies values under the null hypothesis for tests |
|
Performs one-sided, upper-tailed inference |
|
Statistical Output |
|
Constructs confidence limits for means and mean differences |
|
Displays the correlation matrix of LS-means |
|
Displays the covariance matrix of LS-means |
|
Prints the |
|
Prints the |
|
Produces a joint |
|
Requests ODS statistical graphics of means and mean comparisons |
|
Specifies the seed for computations that depend on random numbers |
|
) 
matrix 
matrix 
or chi-square test for the LS-means and LS-means differences For details about the syntax of the LSMESTIMATE statement, see the section LSMESTIMATE Statement of Chapter 19, Shared Concepts and Topics.