pool_prop_wald function

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

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

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

Returns

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

Details

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

Examples

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

See Also

with.milist, prop_wald

Author(s)

Martijn Heymans, 2021