R: Odds ratio and relative risk

Odds ratio and relative risk {Rfast} | R Documentation

## Odds ratio and relative risk

### Description

Odds ratio and relative risk.

### Usage

    odds.ratio(x, a = 0.05, logged = FALSE)
    rel.risk(x, a = 0.05, logged = FALSE)

### Arguments

`x` | A 2 x 2 matrix or a vector with 4 elements. In the case of the vector make sure it corresponds to the correct table.
`a` | The significance level, set to 0.05 by default.
`logged` | Should the p-values be returned (FALSE) or their logarithm (TRUE)?

### Details

The odds ratio and the confidence interval are calculated.

### Value

A list including:

`res` | The estimated odds ratio and the p-value for the null hypothesis test that it is equal to 1.
`ci` | The (1-a)% confidence interval for the true value of the odds ratio.

### Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr>.

### References

Mosteller Frederick (1968). Association and Estimation in Contingency Tables. Journal of the American Statistical Association. 63(321):1-28.

Edwards A.W.F. (1963). The measure of association in a 2x2 table. Journal of the Royal Statistical Society, Series A. 126(1):109-114.

### See Also

`odds, g2Test`

### Examples

    x <- rpois(4, 30)+2
    res<-odds.ratio(x)
    res<-odds.ratio( matrix(x, ncol = 2) )

[Package Rfast version 2.0.4 Index]