ci.two.clustered.props: Compute the a confidence interval for the difference between...
In m-Py/propint: Testing for interactions in proportions

Description Usage Arguments Author(s) References

View source: R/ci_mixed_between.R

This function computes the same confidence interval as 'ci.mixed.between' but uses different input parameters.

1	ci.two.clustered.props(ci, successes1, successes2, N1, N2)

`ci`	The confidence level - pass as a natural number (e.g. 95 for the 95% confidence interval).
`successes1`	A numeric vector indicating the number of "successes" per cluster in condition 1
`successes2`	A numeric vector indicating the number of "successes" per cluster in condition 2
`N1`	A numeric vector indicating the number of observations per cluster in condition 1
`N2`	A numeric vector indicating the number of observations per cluster in condition 2

Martin Papenberg martin.papenberg@hhu.de

Donner, A., & Klar, N. (1993). Confidence interval construction for effect measures arising from cluster randomization trials. Journal of clinical epidemiology, 46(2), 123-131.

m-Py/propint documentation built on July 26, 2019, 8:47 a.m.