getPower: Power estimation for IndOR

Description Usage Arguments Value References See Also

Description

getPower computes the theoretical power for IndOR to detect a predifined disease model.

Usage

1
getPower(pDisease,pDiseaseBase,type,pA,pB,nInd,r,ratioCC)

Arguments

pDisease

numeric. pDisease is unconditional probability of the disease.

pDiseaseBase

numeric. pDisease is probability of the disease conditional to the baseline odds.

type

numeric. type is the disease model.

pA

numeric. pA is the MAF for the first SNP.

pB

numeric. pB is the MAF for the second SNP.

nInd

numeric. nInd is the number of individuals.

r

numeric. r is the correlation measure of Linkage Disequilibrium between the two SNPs.

ratioCC

numeric. ratioCC is Case-to-controls ratio.

Value

A list with class "GGItest" containing the following components:

alpha

The baseline odds of the disease model

theta

The strength of the disease model

power

The power of IndOR to detect the disease model

References

Mathieu Emily (2012) IndOR: A new statistical procedure to test for SNP-SNP epistasis in Genome-Wide Association Studies, Statistics In Medicine, 31(21) :2359-2373

See Also

IndOR


MathieuEmily/IndOR documentation built on May 7, 2019, 4:33 p.m.