propdiff_wald function

Calculates the difference between proportions and standard error according to Wald

propdiff_wald Calculates the difference between proportions and standard error according to Wald and degrees of freedom to be used in function with.miceafter.

propdiff_wald(y, x, formula, data, strata = FALSE)

Arguments

• y: 0-1 binary response variable.
• x: 0-1 binary independent variable.
• formula: A formula object to specify the model as normally used by glm.
• data: An objects of class milist, created by df2milist, list2milist or mids2milist.
• strata: If TRUE the proportion, se and n of each group is provided. Default is FALSE. Has to be used in combination with function pool_propdiff_wilson

Returns

The difference between proportions, standard error and complete data degrees of freedom (dfcom) as n-1.

Examples

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

# proportions in each subgroup
imp_dat <- df2milist(lbpmilr, impvar="Impnr")
ra <- with(imp_dat, expr=propdiff_wald(Chronic ~ Radiation, strata=TRUE))

See Also

with.milist, pool_propdiff_nw

Author(s)

Martijn Heymans, 2021