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Estimation

Least-squares estimation of grouped or pooled data, and maximum likelihood estimation of population parameters

Perform nonlinear regression to estimate individual-specific parameters using grouped data or estimate population parameters from pooled data. To estimate population parameters or fixed effects, while considering individual variations or random effects, use nonlinear mixed-effects modeling. For the summary of supported algorithms and fitting options, see Supported Methods for Parameter Estimation in SimBiology.

SimBiology lets you import tabular data and visualize and preprocess it. For details on types of files and data supported by SimBiology, see Supported Files and Data Types.

Categories

  • Import Data
    Import, visualize, and preprocess experimental data, including Excel, CSV, SAS XPORT, and NONMEM
  • Nonlinear Regression
    Perform least-squares estimation to fit grouped or pooled data, compute confidence intervals, and plot fit quality statistics
  • Nonlinear Mixed-Effects Modeling
    Perform maximum likelihood estimation of population parameters

Featured Examples