pool_prop_wald: Calculates the pooled proportion and standard error according...

In miceafter: Data and Statistical Analyses after Multiple Imputation

Calculates the pooled proportion and standard error according to Wald across multiply imputed datasets.

Description

pool_prop_wald Calculates the pooled proportion and standard error according to Wald across multiply imputed datasets and using Rubin's Rules.

Usage

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

Arguments

object	An object of class 'mistats' (repeated statistical analysis across multiply imputed datasets).
conf.level	Confidence level of the confidence intervals.
dfcom	Complete data degrees of freedom. Default number is taken from function prop_wald

Details

Before pooling, the proportions will be naturally log transformed and the pooled estimates back transformed to the original scale.

Value

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

Author(s)

Martijn Heymans, 2021

See Also

with.milist, prop_wald

Examples

imp_dat <- df2milist(lbpmilr, impvar="Impnr")
ra <- with(imp_dat, expr=prop_wald(Radiation ~ 1))
res <- pool_prop_wald(ra)
res

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