The SURVEYLOGISTIC Procedure
- Overview
- Getting Started
-
Syntax
PROC SURVEYLOGISTIC Statement BY Statement CLASS Statement CLUSTER Statement CONTRAST Statement DOMAIN Statement EFFECT Statement ESTIMATE Statement FREQ Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement OUTPUT Statement REPWEIGHTS Statement SLICE Statement STORE Statement STRATA Statement TEST Statement UNITS Statement WEIGHT Statement -
Details
Missing Values Model Specification Model Fitting Survey Design Information Logistic Regression Models and Parameters Variance Estimation Domain Analysis Hypothesis Testing and Estimation Linear Predictor, Predicted Probability, and Confidence Limits Output Data Sets Displayed Output ODS Table Names ODS Graphics
-
Examples
- References
| ESTIMATE Statement |
- ESTIMATE <'label'> estimate-specification <(divisor=n)>
<, ...<'label'> estimate-specification <(divisor=n)> >
< / options> ;
The ESTIMATE statement provides a mechanism for obtaining custom hypothesis tests. Estimates are formed as linear estimable functions of the form 
. You can perform hypothesis tests for the estimable functions, construct confidence limits, and obtain specific nonlinear transformations.
Table 87.3 summarizes important options in the ESTIMATE statement.
Option |
Description |
|---|---|
Construction and Computation of Estimable Functions |
|
Specifies a list of values to divide the coefficients |
|
Suppresses the automatic fill-in of coefficients for higher-order effects |
|
Tunes the estimability checking difference |
|
Degrees of Freedom and p-values |
|
Determines the method for multiple comparison adjustment of estimates |
|
Determines the confidence level ( |
|
Performs one-sided, lower-tailed inference |
|
Adjusts multiplicity-corrected 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 |
|
Displays the correlation matrix of estimates |
|
Displays the covariance matrix of estimates |
|
Prints the |
|
Produces a joint |
|
Specifies the seed for computations that depend on random numbers |
|
Generalized Linear Modeling |
|
Specifies how to construct estimable functions with multinomial data |
|
Exponentiates and displays estimates |
|
Computes and displays estimates and standard errors on the inverse linked scale |
|
) 
matrix 
or chi-square test for the estimable functions For details about the syntax of the ESTIMATE statement, see the section ESTIMATE Statement of Chapter 19, Shared Concepts and Topics.