sim.CC.data.GxE: Simulates case and controls

In kwesterman/ESPRESSO.GxE.RV: Power analysis and sample size calculation for a multi-variant gene-environment interaction model

Simulates case and controls

Description

Generates affected and non-affected subjects until the set sample size is achieved.

Usage

sim.CC.data.GxE(
  n = NULL,
  ncases = NULL,
  ncontrols = NULL,
  max.sample.size = NULL,
  pheno.prev = NULL,
  freq = NULL,
  g.nvar = NULL,
  g.frac_causal = NULL,
  g.model = NULL,
  g.OR = NULL,
  e.model = NULL,
  e.prev = NULL,
  e.mean = NULL,
  e.sd = NULL,
  e.low.lim = NULL,
  e.up.lim = NULL,
  e.OR = NULL,
  i.OR = NULL,
  b.OR = NULL,
  ph.error = NULL
)

Arguments

n	Number of observations to generate per iteration
ncases	Number of cases to simulate
ncontrols	Number of controls to simulate
max.sample.size	Maximum number of observations allowed
pheno.prev	Prevalence of the binary outcome
freq	Minor allele frequency
g.nvar	Integer number of genetic variants to simulate
g.frac_causal	Fracton of causal genetic variants
g.model	Genetic model; 0 for binary and 1 for additive
g.OR	Odds ratios of the genetic determinant
e.model	Model of the environmental exposure
e.prev	Prevelance of the environmental determinates
e.mean	Mean under quantitative-normal model
e.sd	Standard deviation under quantitative-normal model
e.low.lim	Lower limit under quantitative-uniform model
e.up.lim	Upper limit under quantitative-uniform model
e.OR	Odds ratios of the environmental determinants
i.OR	Odds ration of the interaction
b.OR	Baseline odds ratio for subject on 95 percent population centile versus 5 percentile. This parameter reflects the heterogeneity in disease risk arising from determinates that have not been measured or have not been included in the model.
ph.error	misclassification rates: 1-sensitivity and 1-specificity

Value

A matrix

Author(s)

Gaye A.; Westerman K.

kwesterman/ESPRESSO.GxE.RV documentation built on Aug. 27, 2023, 4:44 a.m.