ci_sur: confidence interval for difference in binomial proportions...

In yuliasidi/m2imp:

confidence interval for difference in binomial proportions incorporating clinical experts survey data for clinical non-inferiority margin

Description

calculates confidence interval for difference in binomial proportions using Wald method, while incorporrating clinical experts survey data in regards to non-inferiority margin

Usage

ci_sur(dt_sur, dt_ct, type = c("all", "obs", "mi", "sing"),
  subj_miss = FALSE, num_ms = 10, x_inc = TRUE)

Arguments

dt_sur	tibble, summarised survey data
dt_ct	tibble, clinical trial data
type	string, Default: c("all", "obs", "mi", "sing"), type of the survey data used
subj_miss	logic, Default: FALSE, detemines whether subject level data are incomplete
num_ms	numeric, Default: 10, number of imputations for subject level data
x_inc	logic, Default: TRUE, indicates whether covariate should be included in the multiple imputation

Value

tibble, inlcudes lower/upper confidence interval bounds, and non-inferiority decision

See Also

mutate map2 p2_mle unnest Normal

yuliasidi/m2imp documentation built on Jan. 16, 2024, 3:59 a.m.