Pseudo Likelihood Ratio Test under the zero-inflated Poisson model with relative reporting rate parametrization
Pseudo Likelihood Ratio Test under the zero-inflated Poisson model with relative reporting rate parametrization
lrt_zi_poisson(contin_table, nsim =10000,...)
Arguments
contin_table: IxJ contingency table showing pairwise counts of adverse events for I AE (along the rows) and J Drugs (along the columns)
nsim: Number of simulated null contingency table to use for computing the p-value of the test
...: additional arguments passed to pvlrt
Returns
Returns a pvlrt object. See pvlrt for more details.
Note
lrt_zi_poisson() is a wrapper for pvlrt() with parametrization = "rrr".
Examples
data("statin46")# 500 bootstrap iterations (nsim) in the example below# are for quick demonstration only --# we recommended setting nsim to 10000 (default) or biggertest1 <- lrt_zi_poisson(statin46, nsim =500)test1