@MISC{Forster01manykinds, author = {Malcolm Forster and Pr De}, title = {Many Kinds of Confirmation *}, year = {2001} }

Share

OpenURL

Abstract

Example 1, Problem 1: Suppose that there are two processes by which a disease is contracted (event D) depending on two genotypes in the population. Type 1: This process occurs for half of the population. For this segment of the population, there is 10 % chance of developing the disease. There is a test for the disease such that 90 % of the people who have the disease in this case will test positive (event E), while the false positive rate is 10%, which means that there is a 10 % chance of testing positive for the disease when they do not have the disease. Type 2: For the other 50 % of the population, the chance of developing the disease is higher, at 50%. As far as testing is concerned, the situation is the same. 90 % of the people who have the disease will test positive (event E), while the false positive rate is 10%. In terms of the framework developed in Forster and KieseppĂ¤, the relative frequencies of the two segments of the population are denoted by p 1 = 50 100, p