RDmn: Risk Difference and Score CI between two groups with strata...

In sasLM: 'SAS' Linear Model

Risk Difference and Score CI between two groups with strata by the MN method

Description

Risk difference and its score confidence interval between two groups with stratification by the Miettinen and Nurminen method

Usage

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

Arguments

d0	A data.frame or matrix, of which each row represents a stratum. This should have four columns named y1, n1, y2, and n2; y1 and y2 for events of each group, n1 and n2 for the sample size of each stratum. The second group is usually the control group. The maximum allowable value for n1 and n2 is 1e8.
conf.level	confidence level
eps	an absolute value less than eps is regarded as negligible

Details

It calculates the risk difference and its score confidence interval between the two groups. The confidence interval is asymmetric, and there is no standard error in the output. If you need the percent scale, multiply the output by 100. This supports stratification. This implementation uses the uniroot function, which usually gives at least 5 significant digits. This can be used for meta-analysis also.

Value

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

p1	proportion from the first group, y1/n1
p2	proportion from the second group, y2/n2
RD	risk difference, p1 - p2. The point estimate of the common RD is calculated with the MN weight.
lower	lower confidence limit of RD
upper	upper confidence limit of RD

Author(s)

Kyun-Seop Bae [e-mail]

References

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

See Also

RDmn1, RRmn1, ORmn1, RRmn, ORmn, 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")
  RDmn(d1)
  d2 = data.frame(y1=c(4, 2, 10), n1=c(20, 20, 20), y2=c(8, 11, 2), n2=c(20, 20, 20))
  RDmn(d2)

sasLM documentation built on June 15, 2026, 9:07 a.m.