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Tests to detect clustering of infected individuals within families
1Department of Mathematics, Stockholm University, Sweden.
Biometrics
|March 1, 1997
Abstract:
A new simple test to detect within-family clustering of infected individuals is proposed. The test is derived as the score test for several different parametric models designed to allow an increased within-family infectivity. The new test is compared with other tests proposed to detect the same type of clustering caused by increased within-family infectivity. Applications of household disease data and simulations are used to illustrate the theory.