printmRR {logisticRR} | R Documentation |
Print adjusted relative risk using multinomial logistic regression under binary or ordinal exposure variable.
Description
Print adjusted relative risk using multinomial logistic regression under binary or ordinal exposure variable.
Usage
printmRR(formula, basecov = 0, fixcov = NULL, data)
Arguments
formula |
a formula term that is passed into |
basecov |
a baseline value of exposure variable. Defaults to |
fixcov |
a data frame of fixed value for each of adjusted confounders. If there is no confounder other than the exposure variable of interest, |
data |
a data frame containing response variable and all the terms used in |
Value
fit |
an object of class |
RRR |
(adjusted) relative risk ratio of |
RR |
(adjusted) relative risk of |
delta.var |
estimated variance of relative risk ( |
fix.cov |
a data frame of fixed value for each of adjsuted confounders. |
Author(s)
Youjin Lee
Examples
n <- 500
set.seed(1234)
X <- rbinom(n, 1, 0.3)
W <- rbinom(n, 1, 0.3)
W[sample(1:n, n/3)] = 2
Y <- rbinom(n, 1, plogis(X - W))
dat <- as.data.frame(cbind(Y, X, W))
result <- printmRR(W ~ X + Y, basecov = 0, data = dat)