surv.rate

Data with event - the survival time, a positive numerical vector with no missing values; censor- censor information, a vector with 1 indicating an event and 0 indicating right censored

data

This is to define the interesting data cutoff time point to see the relationship between time-to-events and markers.

cutoff

This is to specify the weight function, which will be applied to the Kaplan Meier approach for the survival rate estimates within each window. There are four options provided for this weight function: "uniform", "normal", "trunnormal",
and "huber". 

A series of marker values which will be assigned to the estimated survival rates within each window.

xwin


This function is implemented in the npr.wpc.est function.


Implementing weighted predictiveness curve to visualize the marker-by-treatment relationship and measure the performance of biomarkers for guiding treatment decision.

surv.rate: Calculate Survival Rate at a Fix Time Point

Description

Usage

Arguments

References

See Also