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

In miceafter: Data and Statistical Analyses after Multiple Imputation

Calculates the pooled difference between proportions and confidence intervals according to Newcombe-Wilson (NW) across multiply imputed datasets.

Description

pool_propdiff_nw Calculates the pooled difference between proportions and confidence intervals according to Newcombe-Wilson (NW) across multiply imputed datasets.

Usage

pool_propdiff_nw(object, conf.level = 0.95)

Arguments

object	An object of class 'mistats' ('Multiply Imputed Statistical Analysis'.).
conf.level	Confidence level of the confidence intervals. Mostly set at 0.95.

Details

The pool_propdiff_nw function uses information from separate exposure groups. It is therefore important to first use the propdiff_wald function and to set strata = TRUE in that function.

Value

The Proportion and the Confidence intervals according to Newcombe-Wilson.

Author(s)

Martijn Heymans, 2021

References

Yulia Sidi & Ofer Harel (2021): Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data, The American Statistician, DOI:10.1080/00031305.2021.1898468

See Also

with.milist, propdiff_wald

Examples

library(magrittr)
lbpmilr %>%
  df2milist(impvar="Impnr") %>%
    with(expr=propdiff_wald(Chronic ~ Radiation, strata = TRUE)) %>%
      pool_propdiff_nw()

# Same as
imp_dat <- df2milist(lbpmilr, impvar="Impnr")
res <- with(imp_dat, expr=propdiff_wald(Chronic ~ Radiation, strata = TRUE))
res <- pool_propdiff_nw(res)

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