oddsRatio: Odds Ratio and Relative Risk for 2 x 2 Contingency Tables

In ProjectMOSAIC/mosaic: Project MOSAIC Statistics and Mathematics Teaching Utilities

Odds Ratio and Relative Risk for 2 x 2 Contingency Tables

Description

This function calculates the odds ratio and relative risk for a 2 x 2 contingency table and a confidence interval (default conf.level is 95 percent) for the each estimate. x should be a matrix, data frame or table. "Successes" should be located in column 1 of x, and the treatment of interest should be located in row 2. The odds ratio is calculated as (Odds row 2) / (Odds row 1). The confidence interval is calculated from the log(OR) and backtransformed.

Usage

orrr(
  x,
  conf.level = 0.95,
  verbose = !quiet,
  quiet = TRUE,
  digits = 3,
  relrisk = FALSE
)

oddsRatio(x, conf.level = 0.95, verbose = !quiet, quiet = TRUE, digits = 3)

relrisk(x, conf.level = 0.95, verbose = !quiet, quiet = TRUE, digits = 3)

## S3 method for class 'oddsRatio'
print(x, digits = 4, ...)

## S3 method for class 'relrisk'
print(x, digits = 4, ...)

## S3 method for class 'oddsRatio'
summary(object, digits = 4, ...)

## S3 method for class 'relrisk'
summary(object, digits = 4, ...)

Arguments

x	a 2 x 2 matrix, data frame, or table of counts
conf.level	the confidence interval level
verbose	a logical indicating whether verbose output should be displayed
quiet	a logical indicating whether verbose output should be suppressed
digits	number of digits to display
relrisk	a logical indicating whether the relative risk should be returned instead of the odds ratio
...	additional arguments
object	an R object to print or summarise. Here an object of class "oddsRatio" or "relrisk".

Value

an odds ratio or relative risk. If verpose is true, more details and the confidence intervals are displayed.

Author(s)

Kevin Middleton ([e-mail]); modified by R Pruim.

See Also

chisq.test(), fisher.test()

Examples

M1 <- matrix(c(14, 38, 51, 11), nrow = 2)
M1
oddsRatio(M1)

M2 <- matrix(c(18515, 18496, 1427, 1438), nrow = 2)
rownames(M2) <- c("Placebo", "Aspirin")
colnames(M2) <- c("No", "Yes")
M2
oddsRatio(M2)
oddsRatio(M2, verbose = TRUE)
relrisk(M2, verbose = TRUE)
if (require(mosaicData)) {
relrisk(tally(~ homeless + sex, data = HELPrct) )
do(3) * relrisk( tally( ~ homeless + shuffle(sex), data = HELPrct) )
}

ProjectMOSAIC/mosaic documentation built on Feb. 21, 2024, 2:11 a.m.