woorc: Window of Opportunity of Regression Calibration

A dataset containing a summary of the results from the 30 scenarios x 3 methods (= 90)

1	summary_biasvsvar

A data frame with 90 rows and 21 variables:

scen_no: scenario no.
method: method used (uncor/mecor.delta/mecor.btstrp)
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)
bias: bias
bias_mcse: monte carlo standard error of the bias
mse: mean squared error
mse_mcse: monte carlo standard error of the mean squared error
cover: coverage
cover_mcse: monte carlo standard error of the coverage
modelse: model based standard error
modelse_mcse: monte carlo standard error of the model based standard error
empse: empirical standard error
empse_mcse: monte carlo standard error of the empirical standard error
nsim: number of replications
nsim_mcse: monte carlo standard error of the number of replications (NA)
r_sqaured_est: estimated R-squared of Y ~ X + Z
perc_bias: percentage bias