input_biasvsvar: Input of Simulation Study // Bias vs Variance Tradeoff RegCal

Description Usage Format Examples

Description

A dataset containing the 30 scenarios that are used to input the simulation study illustrating the bias vs variance tradeoff between regression calibration and the ordinary least squares estimator not corrected for measurement error. 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

1

Format

A data frame with 30 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

1
data("input_biasvsvar", package = "woorc")

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