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Modeling and Multivariate Methods - SAS

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250 Performing Nonlinear Regression Chapter 9<br />

Nonlinear Fitting with Fit Curve<br />

Table 9.1 Fit Curve Model Formulas (Continued)<br />

Model<br />

Gaussian Peak<br />

Formula<br />

1<br />

aExp<br />

x – b<br />

–------------ 2 <br />

2<br />

c <br />

a = Peak Value<br />

b = Critical Point<br />

c = Growth Rate<br />

Lorentzian Peak<br />

ab<br />

-----------------------------<br />

2<br />

( x – c) 2 + b 2<br />

a = Peak Value<br />

b = Growth Rate<br />

c = Critical Point<br />

One Compartment Oral Dose<br />

abc<br />

c<br />

---------- (<br />

– b<br />

Exp (– b x) – Exp( – cx)<br />

)<br />

a = Area Under Curve<br />

b = Elimination Rate<br />

c = Absorption Rate<br />

Two Compartment IV Bolus Dose<br />

a<br />

α<br />

------------ (( – β<br />

α – b )Exp(– αx) – ( β – b)Exp( – βx)<br />

)<br />

1<br />

α = -- ( b + c+ d + ( b + c + d) 2<br />

2 – 4bd )<br />

1<br />

β = -- ( b + c+<br />

d–<br />

( b + c+<br />

d) 2<br />

2 – 4bd )<br />

a = Initial Concentration<br />

b = Transfer Rate In<br />

c = Transfer Rate Out<br />

d = Elimination Rate<br />

Michaelis Menten<br />

ax<br />

----------<br />

b + x<br />

a = Max Reaction Rate<br />

b = Inverse Affinity

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