  We illustrate the use of tools (asymptotic theories of standard error
quantification using appropriate statistical models, bootstrapping, model
comparison techniques) in addition to sensitivity that may be employed to
determine the information content in data sets. We do this in the context of
recent models [23] for nucleated polymerization in proteins, about which very
little is known regarding the underlying mechanisms; thus the methodology we
develop here may be of great help to experimentalists.
