View source: R/epi_functions.R
mhor | R Documentation |
mhor
computes odds ratios by levels of the stratum variable as well as the Mantel-Haenszel
pooled odds ratio. The test for effect modification (test for interaction) is also displayed.
mhor(object = NULL, formula = NULL, data = NULL)
object |
When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples. |
formula |
A formula with shape: outcome ~ stratum/exposure. |
data |
A data frame containing the variables used in |
Odds ratios with 95
outcome
by levels of stratum
. The Mantel-Haenszel pooled OR and the test
for effect modification is also reported.
data(oswego, package = "epitools")
require(dplyr, quietly = TRUE)
require(sjlabelled, quietly = TRUE)
oswego <- oswego |>
mutate(
ill = factor(ill, labels = c("No", "Yes")),
sex = factor(sex, labels = c("Female", "Male")),
chocolate.ice.cream = factor(chocolate.ice.cream, labels = c("No", "Yes"))
) |>
var_labels(
ill = "Developed illness",
sex = "Sex",
chocolate.ice.cream = "Consumed chocolate ice cream"
)
oswego |>
mhor(ill ~ sex / chocolate.ice.cream)
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