input_lowrel: Input of Simulation Study // Performance RegCal when...

In LindaNab/woorc: Window of Opportunity of Regression Calibration

Description

A dataset containing the 65 scenarios that are used to input the simulation study illustrating the performance of regression calibration when reliability of the error prone exposure is low. The data generating mechanisms used in this study are:
active_energy_expenditure ~ N(1, 0.25)
active_energy_expenditure_star|active_energy_expenditure ~ N(active_energy_expenditure, τ^2)

perc_lean_bm ~ N(80 + beta * active_energy_expenditure, σ^2)

Usage

input_lowrel

Format

A data frame with 65 rows and 6 variables:

scen_no

scenario no.

nobs

number of observations (sample size)

tau_sq

τ^2

beta

estimand

sigma_sq

σ^2

reliability

Var(active_energy_expenditure) / Var(active_energy_expenditure_star)

Examples

data("input_lowrel", package = "woorc")

LindaNab/woorc documentation built on Dec. 17, 2021, 1:10 a.m.