summary: Summary of Simulation Study

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

Description

A dataset containing a summary of the results from the 23 scenarios x 3 methods (= 69)

Usage

summary

Format

A data frame with 69 rows and 27 variables:

scen_no

scenario no.

nobs

number of observations (sample size)

gamma

γ

omega_sq

ω^2

nrep

number of replicates

tau_sq

τ^2

sigma_sq

σ^2

beta

estimand

reliability

Var(blood_pressure) / Var(blood_pressure_star)

r_squared

1 - Var(creatinine|blood_pressure, age) / Var(creatinine)

attenuation

Var(blood_pressure|age) / Var(blood_pressure_star|age)

confounding

0.2 E[age|blood_pressure]

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

Examples

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

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