reverseMA: reverseMA

In SharonLutz/reverseMA: Runs mediation analysis with the mediator and outcome both correctly and incorrectly specified.

Description

The reverseMA function examines the direct and indirect path in mediation analysis when the mediator and outcome are (1) correctly specified and (2) incorrectly specified.

Usage

reverseMA(n = 1000, pX = 0.2, gamma0 = 0, gammaX = 0.1, varM = 1, beta0 = 0, betaX = 1, betaM = c(0, 0.1, 0.2), varY = 1, nSim = 100, nSimImai = 1000, SEED = 1, plot.pdf = T, plot.name = "reverseMAsim.pdf", alpha_level = 0.05)

Arguments

n	is the sample size of the population that is being simulated.
pX	is the MAF of the SNP
gamma0	is the intercept for the effect of the SNP on the mediator M
gammaX	is the effect of the SNP X on the mediator M
varM	varM
beta0	beta0
betaX	betaX
betaM	betaM
varY	varY
nSim	nSim
nSimImai	nSimImai
SEED	SEED
plot.pdf	T then a plot is produced
plot.name	the name of the plot produced
alpha_level	the significance level

Value

The function outputs a matrix of the results and produces a plot.

Author(s)

Sharon Lutz, Annie Thwing

Examples

	reverseMA(n = 100,nSim = 10)

SharonLutz/reverseMA documentation built on June 15, 2020, 7:20 p.m.