The RELIABILITY Procedure
- Overview
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Getting Started
Analysis of Right-Censored Data from a Single PopulationWeibull Analysis Comparing Groups of DataAnalysis of Accelerated Life Test DataWeibull Analysis of Interval Data with Common Inspection ScheduleLognormal Analysis with Arbitrary CensoringRegression ModelingRegression Model with Nonconstant ScaleRegression Model with Two Independent VariablesWeibull Probability Plot for Two Combined Failure ModesAnalysis of Recurrence Data on RepairsComparison of Two Samples of Repair DataAnalysis of Interval Age Recurrence DataAnalysis of Binomial DataThree-Parameter WeibullParametric Model for Recurrent Events DataParametric Model for Interval Recurrent Events Data -
SyntaxPrimary StatementsSecondary StatementsGraphical Enhancement StatementsPROC RELIABILITY StatementANALYZE StatementBY StatementCLASS StatementDISTRIBUTION StatementEFFECTPLOT StatementESTIMATE StatementFMODE StatementFREQ StatementINSET StatementLOGSCALE StatementLSMEANS StatementLSMESTIMATE StatementMAKE StatementMCFPLOT StatementMODEL StatementNENTER StatementNLOPTIONS StatementPROBPLOT StatementRELATIONPLOT StatementSLICE StatementSTORE StatementTEST StatementUNITID Statement
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DetailsAbbreviations and NotationTypes of Lifetime DataProbability DistributionsProbability PlottingNonparametric Confidence Intervals for Cumulative Failure ProbabilitiesParameter Estimation and Confidence IntervalsRegression Model Statistics Computed for Each Observation for Lifetime DataRegression Model Statistics Computed for Each Observation for Recurrent Events DataRecurrence Data from Repairable SystemsODS Table NamesODS Graphics
- 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 17.20 summarizes the options available in the LSMESTIMATE statement.
Table 17.20: LSMESTIMATE Statement Options
|
Option |
Description |
|---|---|
|
Construction and Computation of LS-Means |
|
|
AT |
Modifies covariate values in computing LS-means |
|
BYLEVEL |
Computes separate margins |
|
DIVISOR= |
Specifies a list of values to divide the coefficients |
|
OM= |
Specifies the weighting scheme for LS-means computation as determined by a data set |
|
SINGULAR= |
Tunes estimability checking |
|
Degrees of Freedom and p-values |
|
|
ADJUST= |
Determines the method for multiple-comparison adjustment of LS-means differences |
|
ALPHA=
|
Determines the confidence level ( |
|
LOWER |
Performs one-sided, lower-tailed inference |
|
STEPDOWN |
Adjusts multiple-comparison p-values further in a step-down fashion |
|
TESTVALUE= |
Specifies values under the null hypothesis for tests |
|
UPPER |
Performs one-sided, upper-tailed inference |
|
Statistical Output |
|
|
CL |
Constructs confidence limits for means and mean differences |
|
CORR |
Displays the correlation matrix of LS-means |
|
COV |
Displays the covariance matrix of LS-means |
|
E |
Prints the |
|
ELSM |
Prints the |
|
JOINT |
Produces a joint F or chi-square test for the LS-means and LS-means differences |
|
PLOTS= |
Requests graphs of means and mean comparisons |
|
SEED= |
Specifies the seed for computations that depend on random numbers |
|
Generalized Linear Modeling |
|
|
CATEGORY= |
Specifies how to construct estimable functions with multinomial data |
|
EXP |
Exponentiates and displays LS-means estimates |
|
ILINK |
Computes and displays estimates and standard errors of LS-means (but not differences) on the inverse linked scale |
For details about the syntax of the LSMESTIMATE statement, see the section LSMESTIMATE Statement in SAS/STAT 14.1 User's Guide in Chapter 19: Shared Concepts and Topics in SAS/STAT 14.1 User's Guide.