| EV.Tkinv {nnspat} | R Documentation |
Expected Value of Cuzick and Edwards T_k^{inv} Test statistic
Description
This function computes the expected value of Cuzick and Edwards T_k^{inv} test statistic which is based on the
sum of number of cases closer to each case than the k-th nearest control to the case.
The number of cases are denoted as n_1 (denoted as n1 as an argument)
and number of controls as n_0 for both functions (denoted as n0 as an argument),
to match the case-control class labeling,
which is just the reverse of the labeling in Cuzick and Edwards (1990).
See the function ceTkinv for the details of the T_k^{inv} test.
See (Cuzick and Edwards (1990)) and references therein.
Usage
EV.Tkinv(n1, n0, k)
Arguments
n1, n0 |
The number of cases and controls |
k |
Integer specifying the number of the closest controls to subject |
Value
The expected value of Cuzick and Edwards T_k^{inv} test statistic for disease clustering
Author(s)
Elvan Ceyhan
References
Cuzick J, Edwards R (1990). “Spatial clustering for inhomogeneous populations (with discussion).” Journal of the Royal Statistical Society, Series B, 52, 73-104.
See Also
Examples
n1<-20
n0<-25
k<-2 #try also 2, 3
EV.Tkinv(n1,n0,k)
EV.Tkinv(n1,n0,k=1)
EV.Trun(n1,n0)