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

In agaye/ESPRESSO.LD: Power Analysis and Sample Size Calculation for two SNPs in Linkage Disequilibrium

Description

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

Usage

sim.CC.data.LD(n = NULL, ncases = NULL, ncontrols = NULL,
  max.sample.size = NULL, pheno.prev = NULL, freq1 = NULL,
  g1.model = NULL, g1.OR = NULL, freq2 = NULL, g2.model = NULL,
  g2.OR = NULL, r = 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
freq1	Minor allele frequency of the 1st genetic determinant
g1.model	Genetic model of the 1st genetic determinant; 0 for binary and 1 for additive
g1.OR	Odds ratios of the 1st genetic determinant
freq2	Minor allele frequency of the 2st genetic determinant
g2.model	Genetic model of the 2st genetic determinant; 0 for binary and 1 for additive
g2.OR	Odds ratios of the 2st genetic determinant
r	desired level of correlation if the two SNPs are modelled as being in LD.
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.

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