sim.CC.data.E: Generates case and controls

In agaye/ESPRESSO.E: Power Analysis and Sample Size Calculation for a model with a main effect environmental exposure

Description

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

Usage

sim.CC.data.E(num.obs = 20000, numcases = 2000, numcontrols = 8000,
  allowed.sample.size = 2e+07, disease.prev = 0.1, env.model = 0,
  env.prev = 0.1, env.mean = 0, env.sd = 1, env.low.lim = 0,
  env.up.lim = 1, env.OR = 1.5, baseline.OR = 12.36,
  pheno.error = c(0.1, 0.1))

Arguments

num.obs	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.
env.model	Model of the environmental exposure.
env.prev	Prevelance of the environmental determinants.
env.mean	Statistical mean under quantitative-normal model.
env.sd	Standard deviation under quantitative-normal model.
env.low.lim	Lower limit under quantitative-uniform model.
env.up.lim	Upper limit under quantitative-uniform model.
env.OR	Odds ratios of the environmental determinants.
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 exposure statuses and an integer, allowed.sample.size.exceeded, which tells if the maximum population size has been exceeded.

Author(s)

Gaye A.

agaye/ESPRESSO.E documentation built on May 10, 2019, 7:30 a.m.