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Modeling and Multivariate Methods - SAS

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Chapter 9 Performing Nonlinear Regression 247<br />

Nonlinear Fitting with Fit Curve<br />

4. Click OK.<br />

5. On the Fit Curve red triangle menu, select one of the models. The models are described in “Fit Curve<br />

Models <strong>and</strong> Options” on page 247.<br />

Fit Curve Models <strong>and</strong> Options<br />

The Fit Curve red triangle menu contains the following models <strong>and</strong> options. For details about the model<br />

formulas, see “Model Formulas” on page 247.<br />

Polynomials<br />

Fits first degree to fifth degree polynomials.<br />

Sigmoid Curves Fits Logistic <strong>and</strong> Gompertz models. These models have both upper <strong>and</strong> lower<br />

asymptotes. The Logistic 2P, 3P, <strong>and</strong> 4P models are symmetric. The Logistic 5P <strong>and</strong> both Gompertz<br />

models are not symmetric. The Logistic 2P is available only when the response is between 0 <strong>and</strong> 1.<br />

Exponential Growth <strong>and</strong> Decay Fits Exponential, Biexponential, <strong>and</strong> Mechanistic Growth models. The<br />

Exponential 2P <strong>and</strong> 3P are similar, but the 3P model has an asymptote. The Biexponential models<br />

assume there are two separate growth or decay processes. The Mechanistic Growth <strong>and</strong> Exponential 3P<br />

models alway increase, but the rate of growth slows so that the model has an asymptote.<br />

Peak Models Fits Gaussian Peak <strong>and</strong> Lorentzian Peak models. These models increase up to a mode<br />

(peak) then decrease. The Gaussian Peak model is a scaled version of the Gaussian probability density<br />

function (pdf). The Lorentzian Peak model is a scaled version of the Cauchy pdf.<br />

Pharmacokinetic Models Fits the One Compartment Oral Dose model, the Two Compartment IV<br />

Bolus Dose model, <strong>and</strong> the Biexponential 4P model. Select this option to model the concentration of<br />

the drug in the body.<br />

Fit Michaelis Menten<br />

Fits the Michaelis-Menten biochemical kinetics model.<br />

Script<br />

Contains options that are available to all platforms. See Using JMP.<br />

Model Formulas<br />

Table 9.1 provides the formulas for the models on the Fit Curve red triangle menu.<br />

Table 9.1 Fit Curve Model Formulas<br />

Model<br />

Polynomials<br />

Formula<br />

k<br />

β 0<br />

+ β i<br />

x i<br />

i = 1<br />

where k is the order of the polynomial. These models can also<br />

be fit using the Fit Model <strong>and</strong> Fit Y by X platforms.

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