awot {cwot} | R Documentation |
Adaptively weighted joint test for main effect and genotype-by-treatment interaction effect for continuous endpoints.
awot(nullmod, g, weights = seq(-1, 1, 0.1))
nullmod |
- The null model object from the output of awot_null. |
g |
- The variable of interest, e.g., the genotype. |
weights |
- The pre-specified weights. The default choice is a vector of -1, -0.9,..., 0.9, 1. |
The p-value of AWOT and the individual p-values of the composite genotypes.
Hong Zhang, Qing Li, Devan Mehrotra and Judong Shen. "CauchyCP: a powerful test under non-proportional hazards using Cauchy combination of change-point Cox regressions", arXiv:2101.00059.
n = 100
y = rbinom(n, 1, 0.3)
x = data.frame(x1=rnorm(n))
tr = rbinom(n, 1, 0.5)
g = rbinom(n, 2, 0.1)
nullmod = awot_null(y, tr, x)
awot(nullmod, g, weights=seq(-1,1,0.1))