meanimp: Mean imputation for the survival time

In asmbPLS: Predicting and Classifying Patient Phenotypes with Multi-Omics Data

Mean imputation for the survival time

Description

In this approach, \mu can be computed using the familiar sample mean formula provided the censored values are imputed.

Usage

meanimp(survival.data, round = FALSE)

Arguments

survival.data	A matrix of two columns with the first column indicates the survival time and the second column indicates the event indicator (1 and 0, where 1 indicates observed event and 0 indicates unobserved event).
round	Whether survival time should be rounded, default = FALSE.

Value

meanimp returns a list containing the following components:

imputed_table	A matrix containing the original survival data and the imputed time.
KM_table	Kaplan-Meier estimator of failure times.

Examples

## Generate the survival data
data_test <- matrix(c(1, 1, 1, 2.5, 5, 7, 1, 1, 0, 1, 0, 1), ncol = 2)

## Mean imputation
meanimp(data_test, round = FALSE)

asmbPLS documentation built on April 17, 2023, 5:08 p.m.