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 = "")
```

joshchang/calonesurv documentation built on May 17, 2019, 12:02 p.m.

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