Calculates the pooled difference between proportions and standard error according to Wald across multiply imputed datasets. — pool_propdiff_wald • miceafter

pool_propdiff_wald Calculates the pooled difference between proportions and standard error according to Wald across multiply imputed datasets.

pool_propdiff_wald(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_wald

Value

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

See also

with.milist, propdiff_wald

Author

Martijn Heymans, 2021

Examples


imp_dat <- df2milist(lbpmilr, impvar="Impnr")
ra <- with(imp_dat, expr=propdiff_wald(Chronic ~ Gender))
res <- pool_propdiff_wald(ra)
res
#>      Prop diff Wald      SE       t 95 CI low 95 CI high
#> [1,]        -0.1389 0.09318 1.95996  -0.32153    0.04373
#> attr(,"class")
#> [1] "mipool"