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ID Statement
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The NLMIXED Procedure

  • Overview Procedure Overview
    Introduction Literature on Nonlinear Mixed Models PROC NLMIXED Compared with Other SAS Procedures and Macros
  • Getting Started Getting Started
    Nonlinear Growth Curves with Gaussian Data Logistic-Normal Model with Binomial Data
  • Syntax Procedure Syntax
    PROC NLMIXED Statement ARRAY Statement BOUNDS Statement BY Statement CONTRAST Statement ESTIMATE Statement ID Statement MODEL Statement PARMS Statement PREDICT Statement RANDOM Statement REPLICATE Statement Programming Statements
  • Details Procedure Details
    Modeling Assumptions and Notation Integral Approximations Built-in Log-Likelihood Functions Optimization Algorithms Finite-Difference Approximations of Derivatives Hessian Scaling Active Set Methods Line-Search Methods Restricting the Step Length Computational Problems Covariance Matrix Prediction Computational Resources Displayed Output ODS Table Names
  • Examples Procedure Examples
    One-Compartment Model with Pharmacokinetic Data Probit-Normal Model with Binomial Data Probit-Normal Model with Ordinal Data Poisson-Normal Model with Count Data Failure Time and Frailty Model
  • References
 
ID Statement

ID names ;

The ID statement identifies additional quantities to be included in the OUT= data set of the PREDICT statement. These can be any symbols you have defined with SAS programming statements.


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