Pool size vs. Prevalence: Performs a head to head comparison of all of the models in this database against a Dorfman type screen to show which design yields the greatest compression when limited by pool size and prevalence.
Narrow your search
* Note: Rate is defined as the number of bits of information learned per test. The maximum is 1.0 bits for a binary test. Rate is defined as log2(n!/(k!*(n-k)!))/m.