Description Usage Arguments Value Author(s) Examples
Print adjusted relative risk under nominal exposure variable.
1 |
formula |
a formula term that is passed into |
basecov |
a baseline value of exposure variable. Defaults to the first level. |
comparecov |
a value of exposure variable for comparison. Defaults to the first level. |
fixcov |
a data frame of fixed value for each of adjusted confounders. If there is no confounder other than an exposure variable of interest, |
data |
a data frame containing response variable and all the terms used in |
|
an object of class |
|
(adjusted) relative risk in response under exposure at baseline ( |
|
estimated variance of relative risk ( |
|
a data frame of fixed value for each of adjsuted confounders. |
Youjin Lee
1 2 3 4 5 6 7 8 9 10 | n <- 500
set.seed(1234)
W <- rbinom(n, 1, 0.3); W[sample(1:n, n/3)] = 2
dat <- as.data.frame(W)
dat$X <- sample( c("low", "medium", "high"), size = n, replace = TRUE)
dat$Y <- ifelse(dat$X == "low", rbinom(n, 1, plogis(W + 0.5)),
ifelse(dat$X == "medium", rbinom(n, 1, plogis(W + 0.2)),
rbinom(n, 1, plogis(W - 0.4)) ))
dat$X <- as.factor(dat$X)
result <- printnRR(Y ~ X + W, basecov = "high", comparecov = "low", data = dat)
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