a. **Analysis of Ligand Binding Data** - Competition, saturation and dose-response studies may be analyzed with SigmaPlot Version 7.0 and this macro. Multiple replicate data sets are fit using an equation selected from a list of ten – and you may add your own. Graphical results, EC50 values and a statistical report are produced.

b. **Analyzing Dissolution Test Data with SigmaPlot’s Excel Spreadsheet** - An Excel worksheet analyzes up to 12 vessel by 6 sample time dissolution test data. Publication quality graphs of the results are simultaneously created.

c. **Shelf Life Time Analysis**

i. **Computing Shelf Life Time with SigmaPlot** - An exact computation of shelf life time is computed and graph created. Four designs are available – lower specification only, upper specification only, lower and upper specification and degradant analysis.

ii. **Validation of the Shelf Life Macro** - Confirms accuracy of the Shelf Life Macro

iii. **Simulation**

iv. **Transform**

d. **Data Smoothing** - Three real-world examples with increasing variability show the usefulness of SigmaPlot’s data smoothing algorithms to visualize the information in the data. [top]

e. **Controlled Release Analysis **

i. **Fitting Controlled Release and Dissolution Data** - Five controlled release models for analysis of drug dissolution data are implemented as a SigmaPlot fit library. One or all models may be easily fitted to your data.

ii. **Explicit Function Approximation**

iii. **Create These Functions**

iv. **Modify Equations in the SigmaPlot Fit Library**

f. **Global Analysis of Concentration Response Curves** - Global curve fitting without data concatenation is demonstrated.

g. **Global Curve Fit of Enzyme Kinetics Data** - A demonstration of simultaneous fitting of multiple functions to multiple data sets with shared parameters.

h. **Global Curve Fitting for Ka and Kd from Sedimentation** - A global analysis of ultracentrifuge radial macromolecule concentration gradients.

i. **Global Curve Fitting - Dose Response Parallelism**

j. **Curve Fitting / Regression**

k. **Piecewise Nonlinear Regression** - A four-segment piecewise linear equation is fit to rowwise replicate data.

l. **Weight Functions in Nonlinear Regression**

m. **Parameter Confidence Intervals in Reports**

n. **Implicit Function Curve Fitting**

o. **ROC Curves Analysis**

p. **Standard Curves Analysis**