ss.calc: Function to Calculate Sample Size

In genpwr: Power Calculations Under Genetic Model Misspecification

Description

Calculates the necessary sample size to achieve the specified level of power to detect an odds ratio, OR, with type 1 error rate, Alpha

Usage

ss.calc(
  power = 0.8,
  Case.Rate = NULL,
  k = NULL,
  MAF = NULL,
  OR = NULL,
  Alpha = 0.05,
  True.Model = "All",
  Test.Model = "All"
)

Arguments

power	Vector of the desired power(s)
Case.Rate	Vector of the proportion(s) of cases in the sample (cases/(cases + controls)). Either k or Case.Rate must be specified.
k	Vector of the number of controls per case. Either k or Case.Rate must be specified.
MAF	Vector of minor allele frequencies
OR	Vector of odds ratios to detect
Alpha	the desired type 1 error rate(s)
True.Model	A vector specifying the true underlying genetic model(s): 'Dominant', 'Additive', 'Recessive' or 'All'
Test.Model	A vector specifying the assumed genetic model(s) used in testing: 'Dominant', 'Additive', 'Recessive' or 'All'

Value

A data frame including the total number of subjects required for all combinations of the specified parameters (Case.Rate, OR, Power, etc)

Examples

ss <- ss.calc(power=0.8, Case.Rate=0.5, k=NULL,
   MAF=0.1, OR=3,Alpha=0.05,
   True.Model='All', Test.Model='All')

genpwr documentation built on March 31, 2021, 1:06 a.m.