or.midp {epitools}R Documentation

Odds ratio estimation and confidence intervals using mid-p method

Description

Calculates odds ratio by median-unbiased estimation and exact confidence interval using the mid-p method (Rothman 1998).

Usage

or.midp(x, conf.level = 0.95, byrow = TRUE, interval = c(0, 1000))

Arguments

x input data can be 2x2 matrix or vector of length 4
conf.level
byrow
interval

Details

Calculates odds ratio by median-unbiased estimation and exact confidence interval using the mid-p method (Rothman 1998, p. 251).

This function expects the following 2x2 table struture:

              exposed   not exposed
    disease      a1         a0                          
    no disease   b1         b0
or a numeric vector of the form c(a1, a0, b1, b0).

This function is used by oddsratio.midp.

Value

x table that was used in analysis
data same table as x but with marginal totals
estimate median unbiased odds ratio
conf.level confidence level used

Note

Visit http://www.epitools.net for the latest.

Author(s)

Tomas Aragon, aragon@berkeley.edu, http://www.medepi.com

References

Kenneth J. Rothman and Sander Greenland (1998), Modern Epidemiology, Lippincott-Raven Publishers

See Also

oddsratio

Examples

##rothman p. 243
z1 <- matrix(c(12,2,7,9),2,2,byrow=TRUE)
z2 <- z1[2:1,2:1]
##jewell p. 79
z3 <- matrix(c(347,555,20,88),2,2,byrow=TRUE)
z4 <- z3[2:1,2:1]
or.midp(z1)
or.midp(z2)
or.midp(z3)
or.midp(z4)

[Package epitools version 0.5-3 Index]