TwoPhaseInd (version 1.1.2)

Estimate Gene-Treatment Interaction Exploiting Randomization

Description

Estimation of gene-treatment interactions in randomized clinical trials exploiting gene-treatment independence. Methods used in the package refer to J. Y. Dai, M. LeBlanc, and C. Kooperberg (2009) Biometrics .

Copy Link

Version

Install

install.packages('TwoPhaseInd')

Monthly Downloads

Version

1.1.2

License

GPL (>= 2)

Maintainer

James Dai

Last Published

February 17th, 2022

Functions in TwoPhaseInd (1.1.2)

remove_missingdata

A function used in acoarm to remove missing data

char2num

A function used in acoarm to transform categorical variable to integers

acodata

A dataset from the STEP trial to study the interactions between gene and vaccine on HIV infection

mele

function to compute the maximum estimated likelihood estimator

caseonly

A function to deal with case-only designs

spmle

function to compute the semiparametric maximum likelihood estimator

acoarm

A function to estimate parameters in Cox proportional hazard models by augmented case-only designs for randomized clinical trials with failure time endpoints.

aco2arm

A function to estimate parameters in Cox proportional hazards model using augmented case-only designs, the genotype is ascertained for a random subcohort from both the active treatment arm and the placebo arm (case-cohort sampling) or a case-control sample in both arms.

remove_rarevariants

A function used in spmle and acoarm to remove rare-variant covariates

whiBioMarker

An example dataset to demostrate the usage of MELE and SPMLE

aco1arm

A function to estimate parameters in augmented case-only designs, the genotype is ascertained for a random subcohort from the active treatment arm or the placebo arm.