sasLM (version 0.10.6)

ORmn: Odds Ratio and Score CI of two groups with strata by MN method

Description

Odds ratio and its score confidence interval of two groups with stratification by the Miettinen and Nurminen method

Usage

ORmn(d0, conf.level=0.95, eps=1e-8)

Value

The following output will be returned for each stratum and common value. There is no standard error.

odd1

odd from the first group, y1/(n1 - y1)

odd2

odd from the second group, y2/(n2 - y2)

OR

odds ratio, odd1/odd2. The point estimate of common OR is calculated with MN weight.

lower

lower confidence limit of OR

upper

upper confidence limit of OR

Arguments

d0

A data.frame or matrix, of which each row means a strata. This should have four columns named y1, n1, y2, and n2; y1 and y2 for events of each group, n1 and n2 for sample size of each strata. The second group is usually the control group.

conf.level

confidence level

eps

absolute value less than eps is regarded as negligible

Author

Kyun-Seop Bae [e-mail]

Details

It calculates odds ratio and its score confidence interval of the two groups. The confidence interval is asymmetric, and there is no standard error in the output. This supports stratification. This implementation uses uniroot function, which usually gives at least 5 significant digits. Whereas PropCIs::orscoreci function uses incremental or decremental search by the factor of 1.001 which gives only about 3 significant digits. This can be used for meta-analysis also.

References

Miettinen O, Nurminen M. Comparative analysis of two rates. Stat Med 1985;4:213-26

See Also

RDmn1, RRmn1, ORmn1, RDmn, RRmn, RDinv, RRinv, ORinv, ORcmh

Examples

  d1 = matrix(c(25, 339, 28, 335, 23, 370, 40, 364), nrow=2, byrow=TRUE)
  colnames(d1) =  c("y1", "n1", "y2", "n2")
  ORmn(d1)
  d2 = data.frame(y1=c(4, 2, 10), n1=c(20, 20, 20), y2=c(8, 11, 2), n2=c(20, 20, 20))
  ORmn(d2)