au.test.strat {AUtests} | R Documentation |
Stratified AU testing
Description
Calculates AU p-values for testing independence in 2x2 case-control tables, while adjusting for categorical covariates. Inputs are given as a vector of counts in each strata defined by the covariate(s). Note that computational time can be extremely high.
Usage
au.test.strat(m0list, m1list, r0list, r1list, lowthresh = 1e-12)
Arguments
m0list |
Number of control subjects in each strata |
m1list |
Number of case subjects in each strata |
r0list |
Number of control subjects exposed in each strata |
r1list |
Number of case subjects exposed in each strata |
lowthresh |
A threshold for probabilities below to be considered as zero. Defaults to 1e-12. |
Value
An AU p-value, computed under the likelihood ratio test.
Examples
au.test.strat(c(500, 1250), c(150, 100), c(0, 0), c(10, 5))
[Package AUtests version 0.99 Index]