This repository is an implmentation of a test statistic found by computing the area between cohort-weighted Kaplan-Meier curves. The asymptotic distribution of the test statistic is used to compute p-values. The manuscript describing this statistic is currently under review at RSOS. Here is an arXiv version: arXiv1701.02424
Here is an example to get you started with the tool
library(devtools) install_github("joshchang/calonesurv") require(survival) require(calonesurv) surv_data = with(subset(survival::lung,ph.ecog %in% 0:2), data.frame(population = sex, censor = as.numeric(status==1), time = time, cohort = ph.ecog )) out = Theta_hat(surv_data) print(confint(out)) print(pvalue.Theta_hat(out)) plot(out,main="",ylab = "")
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