predict_event_time: Predict Event Time of a subject

In herglola/SVHM: Support-Vector-Hazard-Machine

Predict Event Time of a subject

Description

calculate the predicted event time of an individual

Usage

predict_event_time(df, x, k = 3, rounding = "ceil")

Arguments

df	dataframe of non censored subjects in the training set
x	Risk score of the individual which will be predicted upon
k	integer of how many nearest event times are used to predict the event time (default is 3)
rounding	Options are 'ceil', 'floor' and 'no'. (default is 'ceil')

Details

This function predicts the event time of a subject based on the k closest risks subjects in the training dataset of non cencored individuals df. The risks in df are ranked and the predicted event time is the average of the k event times that coincide with the rank of the k closest risks. The predicted event time is rounded up to integers by default. A vectorized version predict_event_time_vec() for the parameter x exists.

Value

predicted event time

References

Wang, Y., Chen, T., and Zeng, D. Support vector hazards machine: A counting process framework for learning risk scores for censored outcomes. Journal of Machine Learning Research, 17(167):1-37, 2016

herglola/SVHM documentation built on March 24, 2022, 12:44 p.m.