This is sometimes called a mixed model. If the repeated measures design was effective in controlling for variability between subjects, it will have more power to detect differences. Depending on your experimental design, there are many kinds of post tests you might want to calculate, and Prism performs the post test that Prism customers have requested most frequently. In the example above, data set A was control and data set B was treated. Each row represents a different dose.
Prism performs post tests to compare the control value and the treated value at each dose.
Again, the P value computations take into account multiple comparisons. Prism has always provided statistical guidance, and Prism 3 goes further. Prism 3 comes with a new book, Analyzing Data with GraphPad Prism, which is distinct from the User's Guide . The first half of the book explains all the statistical analyses that Prism performs, avoiding statistical jargon and math. The second half of the book explains nonlinear regression, and its application to analysis of radioligand binding, dose-response and enzyme kinetic data.