summary_perrier: Summary of Simulation Study Replication Perrier et al.

In LindaNab/simexvsmecor: Comparison of Simex and Mecor for Measurement Error Correction

Description

A dataset containing a summary of the results from the 8 scenarios x 3 methods (= 24)

Usage

summary_perrier

Format

A data frame with 96 rows and 24 variables:

scen_no

scenario no.

nobs

number of observations (sample size)

nrep

number of replicates

tau_sq

τ^2

beta

estimand

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

perc_bias

percentage bias

Examples

data("summary", package = "summary_perrier")

LindaNab/simexvsmecor documentation built on Dec. 17, 2021, 1:09 a.m.