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rsu.sep.rbvarse <- function(N, rr, df, pstar){
ppr <- N / sum(N)
epi<- rsu.epinf(pstar, rr, ppr)
n <- numeric(length(rr))
se <- n
for(r in 1:length(rr)){
n[r] <- sum(df[df[,1] == r, 3])
se[r] <- mean(df[df[,1] == r, 2])
}
p.all.neg <- (1 - se * n/N)^(epi[[1]] * N)
sep <- 1 - prod(p.all.neg)
return(list(sep = sep, epi = epi[[1]], adj.risk = epi[[2]], n = n, se = se))
}
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