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

In agaye/ESPRESSO.G: Power Analysis and Sample Size Calculation for a model with a main effect genetic covariate

Description

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

Usage

sim.CC.data.G(block.size = 20000, numcases = 2000, numcontrols = 8000,
  allowed.sample.size = 2e+07, disease.prev = 0.1, geno.model = 0,
  MAF = 0.1, geno.OR = 1.5, baseline.OR = 12.36, pheno.error = c(0.1,
  0.1))

Arguments

block.size	number of observations to generate per iteration until the specified number of cases and controls is achieved.
numcases	number of cases to generate.
numcontrols	number of controls to generate.
allowed.sample.size	maximum number of observations allowed i.e. the total size of the population to sample from.
disease.prev	prevalence of the binary outcome.
geno.model	genetic model; binary=0 and and additive=1.
MAF	minor allele frequency of the genetic variant.
geno.OR	odds ratio of the genetic determinant.
baseline.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.
pheno.error	misclassification rates: 1-sensitivity and 1-specificity

Value

a list which holds a matrix, data, that contains the phenotype and genotype statuses and an integer, allowed.sample.size.exceeded, which tells if the maximum population size has been exceeded.

Author(s)

Gaye A.

agaye/ESPRESSO.G documentation built on May 10, 2019, 7:31 a.m.