CI_np_bs: Function to calculate confidence intervals I.pp for gren...

In prevtoinc: Prevalence to Incidence Calculations for Point-Prevalence Studies in a Nosocomial Setting

Description

Implements a bootstrap procedure for estimation of confidence intervals for I.pp based on boostrapping from the length of stay/infection distributions estimated by the gren method.

Usage

CI_np_bs(data, n_bs = 1000, alpha = 0.05)

Arguments

data	data frame which contains a column 'A.loi' with lengths of nosocomial infections up to survey point ( zero if none) and a column 'A.los' with length of stay up to survey point
n_bs	number of bootstrap samples to use for calculations
alpha	confidence level

Value

single-row tibble with columns CI.lower.Ipp and CI.upper.Ipp

Examples

example.dist <- create_dist_vec(function(x) dpois(x-1, 7), max.dist = 70)
example.dist.los <- create_dist_vec(function(x) dpois(x-1, lambda = 12),
                                    max.dist = 70)
data.pps.fast <- simulate_pps_fast(n.sample=5000,
                                   P=0.05,
                                   dist.X.loi = example.dist,
                                   dist.X.los = example.dist.los)
gren_est <- calculate_I_smooth(data = data.pps.fast, method = "gren")
gren_est
CI_np_bs(data.pps.fast, n_bs = 500)

prevtoinc documentation built on June 18, 2019, 5:05 p.m.