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cwot (version 0.1.0)

Cauchy Weighted Joint Test for Pharmacogenetics Analysis

Description

A flexible and robust joint test of the single nucleotide polymorphism (SNP) main effect and genotype-by-treatment interaction effect for continuous and binary endpoints. Two analytic procedures, Cauchy weighted joint test (CWOT) and adaptively weighted joint test (AWOT), are proposed to accurately calculate the joint test p-value. The proposed methods are evaluated through extensive simulations under various scenarios. The results show that the proposed AWOT and CWOT control type I error well and outperform existing methods in detecting the most interesting signal patterns in pharmacogenetics (PGx) association studies. For reference, see Hong Zhang, Devan Mehrotra and Judong Shen (2022) .

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Version

Install

install.packages('cwot')

Monthly Downloads

255

Version

0.1.0

License

GPL-2

Maintainer

Hong Zhang

Last Published

September 23rd, 2022

Functions in cwot (0.1.0)

awot_null

Prepare null model for awot.
awot

Adaptively weighted joint test for main effect and genotype-by-treatment interaction effect for continuous endpoints.
cwot

Cauchy weighted joint test for main effect and genotype-by-treatment interaction effect for binary endpoints.
cwot_null

Prepare null model for cwot.