aco2arm: A function to estimate parameters in Cox proportional hazards...

In TwoPhaseInd: Estimate Gene-Treatment Interaction Exploiting Randomization

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.

Description

This function estimates parameters of proportional hazards model with gene-treatment interaction. It employs case-cohort estimation incorporating the case-only estimators. The method was published in Dai et al. (2015) Biometrics.

Usage

aco2arm(data, svtime, event, treatment, BaselineMarker, subcohort=NULL, 
esttype = NULL, weight=NULL, extra=NULL)

Arguments

data	A data frame used to access the following data.
svtime	A character string of column name, corresponds to one column of the data frame, which is used to store the failure time variable (numeric).
event	A character string of column name, corresponds to one column of the data frame, which is used to store the indicator of failure event (1: failure, 0: not failure).
treatment	A character string of column name, corresponds to one column of the data frame, which is used to store the binary vector of treatment variable (1: treatment, 0: placebo).
BaselineMarker	A character string of column name, corresponds to one column of the data frame, which is used to store a vector of biomarker.
subcohort	A character string of column name, corresponds to one column of the data frame, which is used to store the indicator of sub-cohort in the case-cohort sampling (1: sample belong to the sub-cohort, 0: not belong to the sub-cohort). In case-control sampling, this variable is set to be NULL.
esttype	The option of estimation methods (1: Self-Prentice estimator, 0: Lin-Ying estimator).
weight	If the genotype data are obtained through case-control sampling, weight is a vector of sampling weights (inverse of sampling probability) corresponding to rows of data. If the genotype data are obtained through case-cohort sampling, weight is NULL. If a vector of weights have been supplied by user, then esttype is automatically set to 0: Lin-Ying estimator.
extra	A string vector of column name(s), corresponds to more or more column(s) of the data frame, which is/are used to store the extra baseline covariate(s) to be adjusted for in addition to treatment and biomarker.

Details

The function returns estimates of the proportional hazards model, and variance of the estimates. The method was published in Dai et al. (2016) Biometrics.

Value

A list of estimates and variance of the estimates.

Estimate	A data frame of beta(Estimated parameter), stder(Standard error),and pVal(p value)
Covariance	covariance data frame of genotype,treatment,and interaction

Author(s)

James Y. Dai

References

J. Y. Dai, X. C. Zhang,C. Y. Wang, and C. Kooperberg. Augmented case-only designs for randomized clinical trials with failure time endpoints. Biometrics, DOI: 10.1111/biom.12392, 2016.

See Also

aco1arm

Examples

## Load the example data
data(acodata)
## Case-cohort + case-only estimators
rfit1 <- aco2arm(data=acodata,
                 svtime="vacc1_evinf",
                 event="f_evinf",
                 treatment="f_treat",
                 BaselineMarker="fcgr2a.3",
                 subcohort="subcoh",
                 esttype=1,
                 weight=NULL,
                 extra=c("f_agele30","f_hsv_2","f_ad5gt18","f_crcm","any_drug",
                 "num_male_part_cat","uias","uras")) 
rfit1

TwoPhaseInd documentation built on March 18, 2022, 7:52 p.m.