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The NLMIXED Procedure

Overview
Introduction Literature on Nonlinear Mixed Models PROC NLMIXED Compared with Other SAS Procedures and Macros
Getting Started
Nonlinear Growth Curves with Gaussian Data Logistic-Normal Model with Binomial Data
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
Modeling Assumptions and Notation Integral Approximations Built-in Log-Likelihood Functions Hierarchical Model Specification 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
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 Simulated Nested Linear Random-Effects Model Overdispersion Hierarchical Nonlinear Mixed Model
References

Examples: NLMIXED Procedure

Subsections:

82.1 One-Compartment Model with Pharmacokinetic Data
82.2 Probit-Normal Model with Binomial Data
82.3 Probit-Normal Model with Ordinal Data
82.4 Poisson-Normal Model with Count Data
82.5 Failure Time and Frailty Model
82.6 Simulated Nested Linear Random-Effects Model
82.7 Overdispersion Hierarchical Nonlinear Mixed Model

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