Nonlinear Regression
Perform least-squares estimation to fit grouped or pooled data,
compute confidence intervals, and plot fit quality statistics
Perform parameter estimation using local, global, or hybrid estimation methods. Fit each group in your data independently to obtain group-specific estimates or fit all groups simultaneously to get one set of parameter estimates. You can also compute confidence intervals for estimated parameters and predicted model responses. Use various plots to visualize and assess fit quality measures.
Apps
SimBiology Model Builder | Build QSP, PK/PD, and mechanistic systems biology models interactively (Since R2020b) |
SimBiology Model Analyzer | Analyze QSP, PK/PD, and mechanistic systems biology models |
Functions
Objects
Topics
Nonlinear Regression Basics
- Nonlinear Regression
SimBiology® supports several fitting, parameter transformations, and estimation options for nonlinear regression. - Supported Methods for Parameter Estimation in SimBiology
SimBiology supports a variety of optimization methods for least-squares and mixed-effects estimation problems. - Error Models
SimBiology supports constant, proportional, combined, and exponential error models. - Progress Plot
The progress plot provides the live feedback on the status of parameter estimation while usingsbiofit
,sbiofitmixed
, or the Fit Data program in the SimBiology Model Analyzer app.
App Workflow
- Calculate NCA Parameters and Fit Model to PK/PD Data Using SimBiology Model Analyzer
Calibrate model parameters by performing noncompartmental analysis and fitting to experimental PKPD data using nonlinear regression.
Programmatic Workflow
- Fit PK Parameters Using SimBiology Problem-Based Workflow
Estimate model parameters using a SimBiology problem object. - Fit One-Compartment Model to Individual PK Profile
Fit an individual's PK profile data to one-compartment model and estimate pharmacokinetic parameters. - Fit Two-Compartment Model to PK Profiles of Multiple Individuals
Estimate pharmacokinetic parameters of multiple individuals using a two-compartment model. - Estimate Category-Specific PK Parameters for Multiple Individuals
Estimate category-specific (such as young versus old or male versus female in a hierarchical model), individual-specific, and population-wide parameters using PK profile data from multiple individuals. - Perform Hybrid Optimization Using sbiofit
Configuresbiofit
to perform a hybrid optimization.