h_odds_ratio: Helper functions for odds ratio estimation

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Helper functions for odds ratio estimation

Description

Functions to calculate odds ratios in estimate_odds_ratio().

Usage

or_glm(data, conf_level)

or_clogit(data, conf_level, method = "exact")

Arguments

data	(data.frame) data frame containing at least the variables rsp and grp, and optionally strata for or_clogit().
conf_level	(proportion) confidence level of the interval.
method	(string) whether to use the correct ("exact") calculation in the conditional likelihood or one of the approximations. See survival::clogit() for details.

Value

A named list of elements or_ci and n_tot.

Functions

• 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.

See Also

odds_ratio

Examples

# 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)

tern documentation built on June 20, 2025, 9:08 a.m.