n.rb: Risk-based sample size

In RSurveillance: Design and Analysis of Disease Surveillance Activities

Description

Calculates sample size for risk-based sampling for a single risk factor and using binomial method

Usage

n.rb(pstar, rr, ppr, spr, se, sep)

Arguments

pstar	design prevalence (scalar)
rr	relative risk values (vector, length equal to the number of risk strata)
ppr	population proportions corresponding to rr values (vector of equal length to rr)
spr	planned surveillance proportion for each risk group (vector equal length to rr, ppr)
se	unit sensitivity (fixed or vector same length as rr, ppr, n)
sep	required population sensitivity (scalar)

Value

list of 2 elements, a vector of sample sizes for each risk group a scalar of total sample size, a vector of EPI values and a vector of adjusted risks

Examples

# examples for n.rb
n.rb(0.1, c(5, 3, 1), c(0.1, 0.10, 0.80), c(0.5, 0.3, 0.2), 0.9, 0.95)
n.rb(0.01, c(5, 1), c(0.1, 0.9), c(0.8, 0.2), c(0.9, 0.95), 0.95)

RSurveillance documentation built on July 2, 2020, 2:33 a.m.