aco1arm | R Documentation |
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. (2016) Biometrics.
aco1arm(data, svtime, event, treatment, BaselineMarker, subcohort, esttype = 1, augment = 1, extra)
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 (1: sample belong to the sub-cohort, 0: not belong to the sub-cohort) |
esttype |
The option of estimation methods (1: Self-Prentice estimator, 0: Lin-Ying estimator). |
augment |
The indicator of whether subcohort was drawn from the active treatment arm (augment=1) or from the placebo arm (augment=0). |
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. |
The function returns estimates of the proportional hazards model, and variance of the estimates. The method was published in Dai et al. (2016) Biometrics.
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 |
James Y. Dai
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.
aco2arm
## Load the example data data(acodata) ## Augmented data in the active arm rfit1 <- aco1arm(data=acodata, svtime="vacc1_evinf", event="f_evinf", treatment="f_treat", BaselineMarker="fcgr2a.3", subcohort="subcoh", esttype=1, augment=1, extra=c("f_agele30","f_hsv_2","f_ad5gt18","f_crcm","any_drug", "num_male_part_cat","uias","uras")) rfit1 ## Augmented data in the placebo arm rfit2 <- aco1arm(data=acodata, svtime="vacc1_evinf", event="f_evinf", treatment="f_treat", BaselineMarker="fcgr2a.3", subcohort="subcoh", esttype=1, augment=0, extra=c("f_agele30","f_hsv_2","f_ad5gt18","f_crcm", "any_drug","num_male_part_cat","uias","uras")) rfit2
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