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 |
confidence level (default is 0.95) |
byrow |
integer vectors are read in row-wise (default) |
interval |
interval for the |
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 |
estimate |
median unbiased odds ratio |
conf.level |
confidence level used |
Author(s)
Tomas Aragon, aragon@berkeley.edu, http://www.phdata.science
References
Kenneth J. Rothman and Sander Greenland (1998), Modern Epidemiology, Lippincott-Raven Publishers
See Also
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)