pool_propdiff_ac: Calculates the pooled difference between proportions and...

In miceafter: Data and Statistical Analyses after Multiple Imputation

Calculates the pooled difference between proportions and standard error according to Agresti-Caffo across multiply imputed datasets.

Description

pool_propdiff_ac Calculates the pooled difference between proportions and standard error according to Agresti-Caffo across multiply imputed datasets.

Usage

pool_propdiff_ac(object, conf.level = 0.95, dfcom = NULL)

Arguments

object	An object of class 'mistats' ('Multiply Imputed Statistical Analysis').
conf.level	Confidence level of the confidence intervals.
dfcom	Complete data degrees of freedom. Default number is taken from function propdiff_ac

Details

For the pooled difference between proportions the difference between proportions according to Wald are used. The Agresti-Caffo difference is used to derive the Agresti-Caffo confidence intervals.

Value

The proportion, the Confidence intervals, the standard error and statistic.

Author(s)

Martijn Heymans, 2021

References

Agresti, A. and Caffo, B. Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures. The American Statistician. 2000;54:280-288.

Fagerland MW, Lydersen S, Laake P. Recommended confidence intervals for two independent binomial proportions. Stat Methods Med Res. 2015 Apr;24(2):224-54.

See Also

with.milist, propdiff_ac

Examples

imp_dat <- df2milist(lbpmilr, impvar="Impnr")
ra <- with(imp_dat, expr=propdiff_ac(Chronic ~ Radiation))
res <- pool_propdiff_ac(ra)
res

miceafter documentation built on Oct. 2, 2022, 5:08 p.m.