h_odds_ratio | R Documentation |
Functions to calculate odds ratios in estimate_odds_ratio()
.
or_glm(data, conf_level)
or_clogit(data, conf_level)
data |
( |
conf_level |
( |
A named list
of elements or_ci
and n_tot
.
or_glm()
: Estimates the odds ratio based on stats::glm()
. Note that there must be
exactly 2 groups in data
as specified by the grp
variable.
or_clogit()
: Estimates the odds ratio based on survival::clogit()
. This is done for
the whole data set including all groups, since the results are not the same as when doing
pairwise comparisons between the groups.
odds_ratio
# Data with 2 groups.
data <- data.frame(
rsp = as.logical(c(1, 1, 0, 1, 0, 0, 1, 1)),
grp = letters[c(1, 1, 1, 2, 2, 2, 1, 2)],
strata = letters[c(1, 2, 1, 2, 2, 2, 1, 2)],
stringsAsFactors = TRUE
)
# Odds ratio based on glm.
or_glm(data, conf_level = 0.95)
# Data with 3 groups.
data <- data.frame(
rsp = as.logical(c(1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0)),
grp = letters[c(1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 1, 1, 1, 2, 2, 2, 3, 3, 3, 3)],
strata = LETTERS[c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2)],
stringsAsFactors = TRUE
)
# Odds ratio based on stratified estimation by conditional logistic regression.
or_clogit(data, conf_level = 0.95)
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