waldCI: Wald confidence interval estimation

In PoDBAY: Vaccine Efficacy Estimation Package

Description

Function calculates and returns case-count efficacy confidence intervals estimated using Wald's method.

Input data need to contain information about disease status on individual level.

Usage

waldCI(vaccinated, control, confLevel = 0.95)

Arguments

vaccinated	Population-class object: vaccinated subjects, containing information about disease status
control	Population-class object: control subjects, containing information about disease status
confLevel	numeric: value from (0, 1) interval, confidence level of interest

Details

Confidence interval of the relative risk is calculated using the Wald method. (Wald, A. Tests of statistical hypotheses concerning several parameters when the number of observations is large. Transactions of the American Mathematical Society 54, 426-482 (1943)).

Value

Named list of lower and upper confidence interval bound

Examples

# Loading vaccinated and control populations data with PoD information
data(vaccinated)
data(control)

# Estimating the disease status and case-count efficacy with 95\% confidence interval
set.seed(1)
CT <- ClinicalTrial(vaccinated, control, CI = 0.95)

waldCI(vaccinated, control)

PoDBAY documentation built on Sept. 21, 2021, 5:08 p.m.